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Short Title	Topic	Stakeholder Addressed	Source Document	Keywords	Publisher
1. All datasets intended for citation must have a globally unique persistent identifier that can be expressed as an unambiguous URL.	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers	A data citation roadmap for scholarly data repositories	PID, identifier, URL	FORCE11.org and BioCADDIE Data Citation implementation Pilot Repositories Expert Group
1. Provide a range of query interfaces to accommodate various data search behaviours.	Discovery/ indexing/ search	data service providers	Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories	data search, query interfaces, discovery	RDA Data Discovery Paradigms Interest Group
10. Content negotiation for schema.org/JSON-LD and other content types may be supported so that the persistent identifier expressed as URL resolves directly to machine-readable metadata.	Metadata richness/ ingest/ submission, Machine-actionability	data service providers	A data citation roadmap for scholarly data repositories	content negotiation, schema.org, JSON-LD, PID, identifiers, machine-actionability, metadata	FORCE11.org and BioCADDIE Data Citation implementation Pilot Repositories Expert Group
10. Follow API search standards and community adopted vocabularies for interoperability.	Access/ integration, Metadata richness/ ingest/ submission	data service providers	Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories	API, interoperability, vocabularies, standards	RDA Data Discovery Paradigms Interest Group
11. HTTP link headers may be supported to advertise content negotiation options.	Metadata richness/ ingest/ submission, Machine-actionability	data service providers	A data citation roadmap for scholarly data repositories	HTTP link headers, content negotiation	FORCE11.org and BioCADDIE Data Citation implementation Pilot Repositories Expert Group
2. Persistent identifiers for datasets must support multiple levels of granularity, where appropriate.	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers	A data citation roadmap for scholarly data repositories	PID, granularity, identifier	FORCE11.org and BioCADDIE Data Citation implementation Pilot Repositories Expert Group
2. Provide multiple access points to find data.	Discovery/ indexing/ search, Access/ integration	data service providers	Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories	access, access points, discovery	RDA Data Discovery Paradigms Interest Group
3. Make it easier for researchers to judge relevance, accessibility and reusability of a data collection from a search summary.	Discovery/ indexing/ search, Access/ integration	data service providers	Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories	relevance, accessibility, evaluation	RDA Data Discovery Paradigms Interest Group
3. The persistent identifier expressed as an URL must resolve to a landing page specific for that dataset, and that landing page must contain metadata describing the dataset.	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers	A data citation roadmap for scholarly data repositories	PID, identifier, URL, landing page, metadata	FORCE11.org and BioCADDIE Data Citation implementation Pilot Repositories Expert Group
4. Make individual metadata records readable and analysable.	Machine-actionability, Access/ integration	data service providers	Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories	metadata, machine-actionability	RDA Data Discovery Paradigms Interest Group
4. The persistent identifier must be embedded in the landing page in machine-readable format.	Discovery/ indexing/ search, Interlinking/ interoperability, Machine-actionability	data service providers	A data citation roadmap for scholarly data repositories	PID, identifier, landing page, machine-actionability, embedding	FORCE11.org and BioCADDIE Data Citation implementation Pilot Repositories Expert Group
5. Enable sharing and downloading of bibliographic references.	Metadata richness/ ingest/ submission	data service providers	Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories	bibliographic references, bibliographic, citation	RDA Data Discovery Paradigms Interest Group
5. The repository must provide documentation and support for data citation.	Metadata richness/ ingest/ submission	data service providers	A data citation roadmap for scholarly data repositories	documentation, policy, support, citation	FORCE11.org and BioCADDIE Data Citation implementation Pilot Repositories Expert Group
6. Expose data usage statistics.	Metadata richness/ ingest/ submission	data service providers	Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories	data usage, statistics	RDA Data Discovery Paradigms Interest Group
6. The landing page should include metadata required for citation, and ideally also metadata facilitating discovery, in human-readable and machine-readable format.	Metadata richness/ ingest/ submission, Machine-actionability	data service providers	A data citation roadmap for scholarly data repositories	landing page, metadata, discovery, citation	FORCE11.org and BioCADDIE Data Citation implementation Pilot Repositories Expert Group
7. Strive for consistency with other repositories.	Sustainability/ funding/ business-model	data service providers	Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories	repository, consistency, exchange	RDA Data Discovery Paradigms Interest Group
7. The machine-readable metadata should use schema.org markup in JSON-LD format.	Metadata richness/ ingest/ submission, Machine-actionability	data service providers	A data citation roadmap for scholarly data repositories	machine-actionability, schema.org, JSON-LD, metadata	FORCE11.org and BioCADDIE Data Citation implementation Pilot Repositories Expert Group
8. Identify and aggregate metadata records that describe the same data object.	Quality control/ curation, Metadata richness/ ingest/ submission	data service providers	Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories	aggregation, metadata, duplication	RDA Data Discovery Paradigms Interest Group
8. Metadata should be made available via HTML meta tags to facilitate use by reference managers.	Metadata richness/ ingest/ submission, Machine-actionability	data service providers	A data citation roadmap for scholarly data repositories	metadata, HTML meta tags, reference manager	FORCE11.org and BioCADDIE Data Citation implementation Pilot Repositories Expert Group
9. Make metadata records easily indexed and searchable by major web search engines.	Discovery/ indexing/ search	data service providers	Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories	search engines, indexing, metadata, SEO, discovery	RDA Data Discovery Paradigms Interest Group
9. Metadata should be made available for download in BibTeX and/or another standard bibliographic format.	Metadata richness/ ingest/ submission	data service providers	A data citation roadmap for scholarly data repositories	metadata, download, BibTeX, bibliographic format	FORCE11.org and BioCADDIE Data Citation implementation Pilot Repositories Expert Group
Action 1.1: Additional concepts and policies should be refined that make explicit that data selection, long-term stewardship, assessability, legal interoperability and timeliness of sharing are necessary for the implementation of FAIR.	Policy, Capacity building/ incentivisation	research funders, coordination fora, policy makers, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 1.2: The term FAIR is widely-used and effective so should not be extended with additional letters.	Policy	policy makers, standards bodies	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 1.3: The relationship between FAIR and Open should be clarified and well-articulated as the concepts are often wrongly conflated. FAIR does not mean Open. However, in the context of the EOSC and global drive towards Open Science, making FAIR data a reality should be supported by policies requiring appropriate Openness and protection, which can be expressed as ‘as Open as possible, as closed as necessary’.	Policy, Capacity building/ incentivisation	research funders, coordination fora, policy makers, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 10.1: Key data roles need to be recognised and rewarded, in particular, the data scientists who will assist research design and data analysis, visualisation and modelling; and data stewards who will inform the process of data curation and take responsibility for data management.	Capacity building/ incentivisation, Sustainability/ funding/ business-model	data stewards, institutions, research funders	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 10.2: Formal career pathways must be implemented to demonstrate the value of these roles and retain such professionalised roles in support of research teams.	Capacity building/ incentivisation	institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 10.3: Professional bodies for these roles should be created, consolidated when they exist, and promoted. Accreditation should be developed for training and qualifications for these roles.	Capacity building/ incentivisation	institutions, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 10.4: Data skills, including an appropriate foundational level in data science and data stewardship, should be included in undergraduate and postgraduate training across disciplines, and in the provision of continuing professional development (CPD) credits for researchers.	Capacity building/ incentivisation	institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 11.1: Curriculum frameworks for data science and data stewardship should be made available and be easily adaptable and reusable.	Capacity building/ incentivisation	coordination fora, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 11.2: Sharing and reuse of Open Educational Resources and reusable materials for data science and data stewardship programmes should be encouraged and facilitated.	Capacity building/ incentivisation	coordination fora, institutions, policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 11.3: Practical, on-the-job methods of training such as fellowships and staff exchanges should be supported, as well as Train-the-Trainer programmes so the body of data professionals can rapidly scale.	Capacity building/ incentivisation	coordination fora, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 11.4: A programme of certification and endorsement should be developed for organisations and programmes delivering train-the-trainer and/or informal data science and data stewardship training. As a first step, a lightweight peer-reviewed self-assessment would be a means of accelerating the development and implementation of quality training.	Capacity building/ incentivisation	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 12.1: A core set of metrics for FAIR Digital Objects should be defined to apply globally across research domains. More specific metrics should be defined at the community level to reflect the needs and practices of different domains and what it means to be FAIR for that type of research.	Certification/ evaluation	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 12.2: Convergence should be sought between the efforts by many groups to define FAIR assessment. The European Commission should support a project to coordinate activities in defining FAIR metrics and ensure these are created in a standardised way to enable future monitoring.	Certification/ evaluation	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 12.3: The process of developing, approving and implementing FAIR metrics should follow a consultative methodology with research communities, including scenario planning to minimise any unintended consequences and counter-productive gaming that may result. Metrics need to be regularly reviewed and updated to ensure they remain fit-for-purpose.	Certification/ evaluation	coordination fora, research community	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 13.1: Where existing frameworks exist to certify data services, these should be reviewed and adjusted to align with FAIR. The language of the CTS requirements should be adapted to reference the FAIR data principles more explicitly (e.g. in sections on levels of curation, discoverability, accessibility, standards and reuse).	Certification/ evaluation	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 13.2: New certification schemes should be developed and refined by the community where needed to assess and certify core components in the FAIR data ecosystem such as identifier services, standards and vocabularies.	Certification/ evaluation	coordination fora, research community, data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 13.3: Formal registries of certified components are needed. These must be maintained primarily by the certifying organisation but should also be communicated in community discovery registries such as Re3data and FAIRsharing.	Certification/ evaluation, Discovery/ indexing/ search	coordination fora, data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 13.4: Steps need to be taken to ensure that the organisations overseeing certification schemes are independent, trusted, sustainable and scalable.	Certification/ evaluation	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 14.1: Funding decisions for new and existing services to implement FAIR should be tied to evidence, community-approved metrics and certification schemes that validate service delivery.	Sustainability/ funding/ business-model	research funders	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 14.2: Investment in new tools, services and components of the FAIR data ecosystem must be made strategically in order to leverage existing investments and ensure services are sustainable.	Sustainability/ funding/ business-model	data service providers, institutions, research funders, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 14.3: Effective guidance and procedures need to be established and implemented for retiring services that are no longer required or cannot justifiably be sustained.	Sustainability/ funding/ business-model	coordination fora, data service providers, policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 15.1: Criteria for service acceptance and operation quality, including certification standards, need to be derived and applied with the aim to foster a systematic and systemic approach.	Certification/ evaluation	data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 15.2: Regular evaluation of the relevance and quality of all services needed to support FAIR should be performed. Adoption and acceptance by the research community is paramount; cost-benefit analyses should also be considered.	Certification/ evaluation, Sustainability/ funding/ business-model	data service providers, research community	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 15.3: Examples of different business models should be shared, and data services given time and support to trial approaches to test the most viable sustainability paths.	Sustainability/ funding/ business-model	data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 16.1: Policies must assert that the FAIR principles should be applied to research data, to metadata, to code, to DMPs and to other relevant digital objects, as well as to policies themselves.	Policy	policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 16.2: The FAIR data principles and this Action Plan must be tailored for specific contexts - in particular to the relevant research field - and the precise application nuanced, while respecting the objective of maximising data accessibility and reuse.	Policy	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 16.3: Guidelines for the implementation of FAIR in relation to research data, to metadata, to code, to DMPs and to other relevant digital objects should be developed and followed.	Policy	coordination fora, institutions, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 16.4: Examples and case studies of implementation should be collated so that other communities, organisations and individuals can learn from good practice.	Capacity building/ incentivisation	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 17.1: The greatest potential reuse comes when data are both FAIR and Open. Steps should be taken to ensure coherence across data policy, emphasising both concepts and issuing collective statements of intent wherever possible.	Policy	policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 17.2: A funders' forum and other coordinating bodies at European and global level should do concrete work to align policies, reducing divergence, inconsistencies and contradictions. Requirements for DMPs and principles governing recognition and rewards should also be coordinated.	Policy	coordination fora, research funders	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 17.3: Policies should be versioned, indexed and semantically annotated in a policy registry to enable broad reuse within the FAIR data ecosystem. Resources mandated by policies (e.g. consent forms) should be treated the same way.	Policy	policy makers, data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 17.4: Data and other FAIR Digital Objects (e.g. code, models) that directly underpin, and provide evidence for, the findings articulated in published research must also be published unless there are legitimate reasons for protecting and restricting access.	Policy	policy makers, institutions, publishers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 17.5: For data created by publicly funded research projects, initiatives and infrastructures, and where action 17.4 does not apply, the default should be to make the data available as soon as possible. However, policies may explicitly allow a reasonable embargo period to facilitate the right of first use of the data creators. Embargoes should be short (e.g. c. six months to two years) based on the prevailing culture in the given research community.	Policy	policy makers, institutions, publishers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 17.6: Policies should require an explicit and justified statement when (publicly-funded) data cannot be Open and a proportionate and discriminating course of action should be followed to ensure maximum appropriate data accessibility, rather than allowing a wholesale opt-out from the mandate for Open data.	Policy	policy makers, institutions, publishers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 17.7: Sustained work is needed to clarify in more detail the appropriate boundaries of Open and robust processes for secure data handling. Information on exceptions should be captured and fed into a body of knowledge that can inform future policy guidance and practice.	Policy	policy makers, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 17.8: Concrete and accessible guidance should be provided to researchers to find the optimal balance between sharing whilst also safeguarding privacy. There are many exemplars of good practice in providing managed access to sensitive data on which researchers can draw.	Capacity building/ incentivisation	data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 18.1: Questions about the costs of data management, curation and publication should be included in all DMP templates. Information from existing and completed projects should be used to retrospectively identify costs and develop examples and guidelines based on these. Funders, institutions and data services should collaborate on retrospective analysis, including the cost of long-term curation.	Sustainability/ funding/ business-model	research funders, institutions, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 18.2: Research institutions and research projects need to take data management seriously and provide sufficient resources to implement the actions required in DMPs, while ensuring that financial resources are written into proposals as eligible costs.	Sustainability/ funding/ business-model	data stewards, research community, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 18.3: Guidelines should be provided for researchers and reviewers to raise awareness of eligible costs and reinforce the view that data management, long term curation and data publication should be included in project proposals. Funders should collaborate to enhance guidance.	Sustainability/ funding/ business-model	research funders, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 18.4: Funders should trial different mechanisms for supporting the costs of FAIR data management and stewardship, such as having a separate dedicated budget in the grant scheme. Apportioning specific costs for FAIR data should help to encourage researchers to budget for these and not fear their proposals will be uncompetitive.	Sustainability/ funding/ business-model	research funders	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 19.1: Research communities should be encouraged and funded to make concerted efforts to develop and refine appraisal and selection criteria and to improve guidance and processes on what to keep and make FAIR and what not to keep.	Capacity building/ incentivisation	data stewards, research funders	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 19.2: The appraisal and selection of research outputs that are likely to have future research value and significance should reference current and past activities and emergent priorities. Established archival principles and the importance of unrepeatable observations of natural and human phenomena should be taken into account.	Policy	research community, data stewards, policy makers, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 19.3: When data are to be deleted as part of selection and prioritisation efforts, metadata about the data and about the deletion decision should be kept. If data deletion is carried out routinely, the underlying protocols for selection and prioritisation need to be made FAIR.	Policy	research community, data stewards, policy makers, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 2.1: The universal use of appropriate PIDs for FAIR Digital Objects needs to be facilitated and implemented.	Interlinking/ interoperability, Discovery/ indexing/ search, Access/ integration	data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 2.2a: Educational programmes are needed to raise awareness, understanding and use of relevant standards;	Capacity building/ incentivisation	institutions, research community, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 2.2b: tools are needed to facilitate the routine capture of metadata during the research process.	Metadata richness/ ingest/ submission	data service providers, data stewards, research community	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 2.3: Systems must be refined and implemented to make automatic checks on the existence and accessibility of PIDs, metadata, a licence or waiver, and code, and to test the validity of the links between them.	Quality control/ curation	data service providers, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 20.1: Policy should require data deposit in certified repositories and specify support mechanisms (e.g. incentives, structural funding and/or funding for deposit fees, and training) to enable compliance.	Policy, Capacity building/ incentivisation	policy makers, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 20.2: Mechanisms need to be established to support research communities to determine the optimal data repositories and services for a given discipline or data type.	Capacity building/ incentivisation, Discovery/ indexing/ search	data service providers, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 20.3: Concrete steps need to be taken to ensure the development of domain repositories and data services for interdisciplinary research communities so the needs of all researchers are covered.	Discovery/ indexing/ search	coordination fora, data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 20.4: Outreach is required via scholarly societies, scientific unions and domain conferences so researchers in each field are aware of the relevant disciplinary repositories.	Capacity building/ incentivisation	publishers, research community, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 21.1: Researchers - including graduate students - should be required to demonstrate in research proposals and in DMPs that existing FAIR data resources have been consulted and used where appropriate, before proposing the creation of new data.	Sustainability/ funding/ business-model	research funders, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 21.2: Research funders and the academic reward system should ensure that research that reuses data and other outputs is valued as highly as research that creates new content.	Sustainability/ funding/ business-model, Capacity building/ incentivisation	research funders, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 21.3: Appropriate levels of funding should be dedicated to reusing existing FAIR outputs by initiating schemes that incentivise and stimulate reuse of data and code.	Sustainability/ funding/ business-model, Capacity building/ incentivisation	research funders	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 22.1: DMPs should be explicitly referenced in systems containing information about research projects and their outputs. Relevant standards and metadata profiles in such systems should consider adaptations to include DMPs as a specific project output entity (rather than inclusion in the general category of research products). This is to allow them to be more easily accessed and used as project outputs, including by machines. The same should apply to all types of FAIR Digital Objects.	Metadata richness/ ingest/ submission, Interlinking/ interoperability	data service providers, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 22.2: A DMP standard should be developed that is extensible (e.g. Dublin Core) by discipline (e.g. Darwin Core) or by the characteristics of the data (e.g. scale, sensitivity), or the data type (specific characteristics and requirements of the encoding).	Metadata richness/ ingest/ submission	standards bodies, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 22.3: Work is necessary to make DMPs machine-readable and actionable. This includes the development of concepts and tools to support the creation of useful and usable data management plans tied to actual research workflows.	Machine-actionability	data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 22.4: DMPs themselves should conform to FAIR principles and be Open where possible.	Discovery/ indexing/ search, Access/ integration	research community, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 22.5: Information gathered from the process of implementing and evaluating DMPs relating to conformity, challenges and good practices should be used to improve practice.	Capacity building/ incentivisation	coordination fora, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 23.1: The development of FAIR-compliant components needs to involve research communities, technical experts and other stakeholders. They should be provided with a forum for the exchange of views.	Capacity building/ incentivisation	data service providers, research community, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 23.2: Engagement of the necessary stakeholders and experts needs to be facilitated with appropriate funding, support, incentives and training.	Capacity building/ incentivisation	research funders, research community, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 23.3: FAIR components will need regular iteration cycles and evaluation processes to ensure that they are fit for purpose and meet community needs.	Certification/ evaluation	data service providers, research community, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 24.1: The metrics and criteria by which research infrastructures are assessed should reference the FAIR principles, incorporating language and concepts as appropriate, in order to align policy with implementation and to avoid confusion and dispersion of effort.	Certification/ evaluation	coordination fora, policy makers, standards bodies	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 24.2: The cost of providing FAIR services should be covered sustainably in the budgets for research infrastructures.	Sustainability/ funding/ business-model	data service providers, research funders, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 24.3: A set of case study examples of FAIR data provision should be developed and provided to research facilities.	Capacity building/ incentivisation	data service providers, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 24.4: Investment in new tools, services and components of the FAIR data ecosystem must be made strategically in order to leverage existing investments and ensure services are sustainable.	Sustainability/ funding/ business-model	data service providers, research funders, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 25.1: Convergence should be sought between the efforts by many groups to define FAIR assessments.	Certification/ evaluation	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 25.2: Funders should publish statistics on the outcome of all investments to report on levels of FAIR data and certified services. Specifically, funders should assess how FAIR the research objects are that have been produced and to what extent the funded infrastructures are certified and supportive of FAIR.	Sustainability/ funding/ business-model, Certification/ evaluation	research funders	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 25.3: Repositories should publish assessments of the FAIRness of data sets, where practical, based on community review and the judgement of data stewards. Methodologies for assessing FAIR data need to be piloted and developed into automated tools before they can be applied systematically and in a standardised way by repositories.	Certification/ evaluation	data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 25.4: Metrics for the assessment of research contributions, organisations and projects should take the past FAIRness of data sets and other related outputs into account. This can include citation metrics, but appropriate alternatives should also be found for the research, researchers and research outputs being assessed.	Certification/ evaluation	institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 25.5: The results of monitoring processes should be used to inform and iterate data policy.	Policy, Certification/ evaluation	policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 26.1: The development of next generation metrics must take into account the full range of valuable research outputs and FAIR Digital Objects, including data, code and models. A variety of ways of assessing influence and impact should be incorporated.	Certification/ evaluation	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 26.2: Citation of data and other research outputs needs to be encouraged and supported - for example, by including sections in publishing templates that prompt researchers to reference materials, and providing citation guidelines when data, code or other outputs are accessed.	Interlinking/ interoperability	data service providers, publishers, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 26.3: The Joint Data Citation Principles should be actively endorsed, adopted and implemented in the scholarly literature for attribution and in research assessment frameworks for recognition and career advancement.	Interlinking/ interoperability	data service providers, publishers, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 26.4: A broader range of metrics must be developed to recognise contributions beyond publications and citation. These should recognise and reward Open and FAIR data practices.	Capacity building/ incentivisation	institutions, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 27.1: The Rules of Participation for EOSC must be consulted on widely, drawing in views from a broad range of stakeholder groups beyond the core European research infrastructures and e-infrastructures to include research communities, institutions, publishers, commercial service providers and international perspectives.	Policy	research community, data service providers, data stewards, standards bodies, coordination fora, policy makers, research funders, institutions, publishers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 27.2: The resulting Rules must be fit-for-purpose to enable existing data services and capacities developed by different communities to be exploited for best return on investment. The Rules should be reviewed regularly to ensure they remain viable.	Policy	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 27.3: The EOSC governance board should ensure the FAIR criteria are addressed in the Rules of Participation so the services provided in EOSC form part of the global FAIR data ecosystem.	Policy	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 3.1: Registries need to be developed and implemented for all of the FAIR components and in such a way that they know of each other's existence and can interact. Work should begin by enhancing existing registries for policies, standards and repositories to make these comprehensive, and to initiate registries for Data Management Plans (DMPs) and identifiers.	Access/ integration, Discovery/ indexing/ search, Interlinking/ interoperability	data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 3.2: By default, the FAIR ecosystem as a whole and each of its individual components should work for humans and for machines. Policies and DMPs should be machine-readable and actionable.	Machine-actionability	data service providers, policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 3.3: The infrastructure components that are essential in specific contexts and fields, or for particular parts of research activity, should be clearly defined.	Policy	data service providers, research community, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 3.4: Testbeds need to be used to continually evaluate, evolve, and innovate the ecosystem.	Certification/ evaluation	data service providers, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 4.1: Enabling mechanisms must be funded and implemented to support research communities to develop and maintain their disciplinary interoperability frameworks. This work needs to be recognised and incentivised to reward stakeholders for enabling FAIR sharing.	Capacity building/ incentivisation, Sustainability/ funding/ business-model	research funders, data service providers, research community, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 4.2: Examples of FAIR use cases and success stories should be developed to convince reluctant research communities of the benefits in defining their disciplinary interoperability framework.	Capacity building/ incentivisation	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 4.3: Disciplines and interdisciplinary research programmes should be encouraged to engage with international collaboration mechanisms to develop interoperability frameworks. Common standards, intelligent crosswalks, brokering mechanisms and semantic technologies should all be explored to break down silos between communities and support interdisciplinary research.	Interlinking/ interoperability, Capacity building/ incentivisation	coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 4.4: Mechanisms should be facilitated to promote the exchange of good practices and lessons learned in relation to the implementation of FAIR practices both within and across disciplines. Case studies for cross-disciplinary data sharing and reuse should also be collected, shared and used as a basis for the development of good practice.	Capacity building/ incentivisation	policy makers, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 4.5: The components of the FAIR ecosystem should adhere to common standards to support disciplinary frameworks and to promote interoperability and reuse of data across disciplines.	Certification/ evaluation	data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 5.1: Research communities must be required, supported and incentivised to consider data management and appropriate data sharing as a core part of all research activities. They should establish a Data Management Plan at project outset to consider the approach for creating, managing and sharing all research outputs (data, code, models, samples etc.)	Policy, Capacity building/ incentivisation	research funders, research community, institutions, policy makers, data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 5.2: Data Management Plans should be living documents that are implemented throughout the project. A lightweight data management and curation statement should be assessed at project proposal stage, including information on costs and the track record in FAIR. A sufficiently detailed DMP should be developed at project inception. Project end reports should include reporting against the DMP.	Policy, Quality control/ curation	research community, data stewards, policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 5.3: Data Management Plans should be tailored to disciplinary needs to ensure that they become a useful tool for projects. Research communities should be inspired and empowered to provide input to the disciplinary aspects of DMPs and thereby to agree model approaches, exemplars and rubrics that help to embed FAIR data practices in different settings.	Quality control/ curation	research community, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 5.4: The harmonisation of DMP requirements across research funders, universities and other research organisations, as has been initiated by Science Europe and some RDA groups, should be further stimulated.	Quality control/ curation	research funders, institutions, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 6.1: Policy guidelines should recognise the diversity of research contributions (including publications, data sets, code, models, online resources, teaching materials) made during a researcher's career and explicitly include these in templates and schema for curricula vitarum, for researchers' applications and activity reports.	Policy, Capacity building/ incentivisation	policy makers, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 6.2: Credit should be given for all roles supporting FAIR data, including data analysis, annotation, management and curation, as well as for participation in the definition of interoperability frameworks, whether contributing to existing resources or developing new.	Policy, Capacity building/ incentivisation	policy makers, institutions, data stewards, research community	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 6.3: Evidence of past practice in support of FAIR data should be included in assessments of research contribution. Such evidence should be required in grant proposals (for both research and infrastructure investments), among hiring criteria, for career advancement and other areas where evaluation of research contribution has a legitimate role to play. This should include assessment of graduate students.	Policy	research funders, institutions, research community, policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 6.4: Contributions to the development and operation of certified and trusted infrastructures that support FAIR data should be recognised, rewarded and appropriately incentivised in a sustainable way.	Policy, Capacity building/ incentivisation	research funders, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 7:3: Field-specific approaches to expressing semantic relationships should be more closely aligned with web-scale technologies and standards.	Interlinking/ interoperability	coordination fora, data service providers, standards bodies	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 7.1: Programs need to be funded to make semantic interoperability more practical, including the further development of metadata specifications and standards, vocabularies and ontologies, along with appropriate validation infrastructure.	Sustainability/ funding/ business-model, Metadata richness/ ingest/ submission, Interlinking/ interoperability	research funders, standards bodies, coordination fora, data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 7.2: To achieve interoperability between repositories and registries, common protocols should be developed that are independent of the data organisation and structure of various services.	Interlinking/ interoperability	coordination fora, data service providers, standards bodies	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 8.1: Automated workflows between the various components of the FAIR data ecosystem should be developed by means of coordinated activities and testbeds.	Interlinking/ interoperability	data service providers, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 8.2: Metadata standards should be adopted and used consistently in order to enable machines to discover, assess and utilise data at scale.	Interlinking/ interoperability, Metadata richness/ ingest/ submission, Discovery/ indexing/ search, Access/ integration	data service providers, data stewards, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 8.3: Structured discoverability and profile matching mechanisms need to be developed and tested to broker requests and mediate metadata, rights, usage licences and costs.	Interlinking/ interoperability, Discovery/ indexing/ search	data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 9.1: A programme of activity is required to incentivise and assist existing domain repositories, institutional services and other valued community resources to achieve certification, in particular through CTS.	Certification/ evaluation, Sustainability/ funding/ business-model	research funders, coordination fora, standards bodies	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 9.2: A transition period is needed to allow existing repositories without certifications to go through the steps needed to achieve trustworthy digital repository status. Concerted support is necessary to assist existing repositories in achieving certification. Repositories may need to adapt their services to enable and facilitate machine processing and to expose their holdings via standardised protocols.	Certification/ evaluation	data service providers, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 9.3: As certification frameworks emerge for components of the FAIR data ecosystem other than repositories, similar support programmes should be put in place to incentivise accreditation and ensure data service providers can meet the required service standards.	Certification/ evaluation	coordination fora, standards bodies	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Action 9.4: Mechanisms need to be developed to ensure that the FAIR data ecosystem as a whole is fit for purpose, not just assessed on a per service basis.	Certification/ evaluation	coordination fora, data service providers, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	-	European Commision
Adress the challenges of curating for reproducible and FAIR research output	Quality control/ curation	data stewards, research community	Challenges of Curating for Reproducible and FAIR Research Output	curation, reproducibility, FAIR	RDA CURE-FAIR WG
Allow content to be marked for deletion by authorized users	Quality control/ curation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Allow data annotation by the data owner, by other (authorized) people or by automatic (metadata) extraction tools	Metadata richness/ ingest/ submission, Quality control/ curation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Metadata	RDA Repository Platforms for Research Data Interest Group
Allow data providers to choose the level of access to data (e.g. Open Access).	Access/ integration, Quality control/ curation	data service providers, data stewards	Matrix of use cases and functional requirements for research data repository platforms	Data Access	RDA Repository Platforms for Research Data Interest Group
Allow local download of a selected set of information	Access/ integration	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Data Access	RDA Repository Platforms for Research Data Interest Group
Allow product developers to update product information	Quality control/ curation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Allow the (automated) use of data policies	Policy, Machine-actionability	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Policy Support	RDA Repository Platforms for Research Data Interest Group
Allow the creation of special collection views or digital exhibitions	Discovery/ indexing/ search	data service providers, data stewards	Matrix of use cases and functional requirements for research data repository platforms	User Experience, User Interface	RDA Repository Platforms for Research Data Interest Group
Assignment of PID / DOI	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Persistent identifiers	RDA Repository Platforms for Research Data Interest Group
Beschreibung des Access-Status die Verwendung des von der Confederation of Open Access Repositories (COAR) entwickelten Controlled Vocabulary for Access Rights.	Access/ integration, Interlinking/ interoperability	data service providers, data stewards	Empfehlungen für Rechteinformationen in Metadaten	access, legal, rights, licence	DINI Working Group "Lizenzen"
Beschreibung von Dokumenten, für die institutionsspezifische Nutzungshinweise gelten, mit dem Element Lokaler Nutzungshinweis und der zusätzlichen Angabe von Access Status und Rechtehinweis.	Access/ integration	data service providers, data stewards	Empfehlungen für Rechteinformationen in Metadaten	legal, rights, licence, local usage agreements	DINI Working Group "Lizenzen"
Build services on top of Crossref Event Data	Interlinking/ interoperability, Discovery/ indexing/ search	data service providers, publishers	recommendations from the dfg *metrics project	interlinking, crossref event data, relationships	DINI - Deutsche Initiative für Netzwerkinformation e.V.
Capture "degree of confidence" on each data item	Metadata richness/ ingest/ submission, Quality control/ curation	data stewards	Matrix of use cases and functional requirements for research data repository platforms	Data and product quality	RDA Repository Platforms for Research Data Interest Group
Changes in the Metadata	Quality control/ curation	data stewards	Principles and best practices in data versioning for all datasets big and small	metadata, versioning	RDA Data Versioning WG
Collection virtualization / logical naming	Metadata richness/ ingest/ submission, Quality control/ curation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Data organization	RDA Repository Platforms for Research Data Interest Group
Consider alternative cost recovery options and a diversification of revenue streams for repositories	Sustainability/ funding/ business-model	data service providers	Income Streams for Data Repositories	repository, cost model, business model	RDA-WDS Cost Recovery Interest Group
Data and metadata collection with mobile devices	Metadata richness/ ingest/ submission	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Data repositories need to publish their policies & procedures machine-actionable to build trust in their operation	Machine-actionability, Policy	data service providers	Machine Actionable Policy Templates - Practical Policy WG Recommendations	repository, policy, machine-actionability	RDA Practical Policy WG
Definable submission/ingest workflow	Metadata richness/ ingest/ submission	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Define standard core PID information types to enable simplified verification of data identity and integrity	Machine-actionability, Quality control/ curation	coordination fora, data service providers	PID Information Types WG final deliverable	data types, PID, kernal profile, integrety	RDA PID Information Types WG
Display bibliographic citation for data; ideally, also allow the export of bibliographic data to citation software.	Access/ integration, Metadata richness/ ingest/ submission	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Publication	RDA Repository Platforms for Research Data Interest Group
Easy to use ingest process with few barriers to participation	Metadata richness/ ingest/ submission	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Embargo date selection for data-depositing user	Quality control/ curation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Data Access	RDA Repository Platforms for Research Data Interest Group
Ensure data producers classify their data sets in standard data types, allowing data users to automatically identify instruments to process and visualise the data	Machine-actionability, Interlinking/ interoperability	data service providers	RDA Data Type Registries Working Group Output	data types, interoperability	RDA Data Type Registries WG
Ensure researchers apply a common core data model when organising their data and thus making data accessible and re-usable.	Metadata richness/ ingest/ submission	data service providers, data stewards	Data Foundation and Terminology Work Group Products	data model, reuse, access	RDA Data Foundation and Terminology (DFT) WG
Ensure that wide distributed and diverse long-tail data is discoverable and stored in appropriate formats to facilitate reuse.	Discovery/ indexing/ search	data service providers, data stewards	Precise Data Identification Services for Long Tail Research Data	long-tail data, reuse, distributed, dicovery, formats	RDA Data Citation WG
Entscheidend für die Wahl der Lizenz beziehungsweise des Rechtehinweises ist, dass es sich um einen Wert aus einem möglichst breit genutzten Vokabular handelt.	Access/ integration, Interlinking/ interoperability	data service providers	Empfehlungen für Rechteinformationen in Metadaten	access, legal, rights, licence	DINI Working Group "Lizenzen"
Fast data transfer, ingest and export	Access/ integration	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Federation	Access/ integration, Interlinking/ interoperability	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Integration	RDA Repository Platforms for Research Data Interest Group
Files need to be converted to the most accessible formats; use of proprietary and legacy types are possible, but may be reviewed on a case by case basis.	Sustainability/ funding/ business-model, Access/ integration	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Preservation and Sustainability	RDA Repository Platforms for Research Data Interest Group
Fine grained authentication and authorization. Allow the integration or the import from external authentication/authorizsation systems.	Access/ integration	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Authentication	RDA Repository Platforms for Research Data Interest Group
FsF-A1-01M Metadata contains access level and access conditions of the data.	Metadata richness/ ingest/ submission, Access/ integration	data service providers, research community, data stewards	FAIRsFAIR Data Object Assessment Metrics	metadata, access	FAIRsFAIR
FsF-A1-02M Metadata is accessible through a standardized communication protocol	Machine-actionability, Access/ integration	data service providers	FAIRsFAIR Data Object Assessment Metrics	metadata, access, protocol, API	FAIRsFAIR
FsF-A1-03D Data is accessible through a standardized communication protocol	Machine-actionability, Access/ integration	data service providers	FAIRsFAIR Data Object Assessment Metrics	data, access, protocol, API	FAIRsFAIR
FsF-A2-01M Metadata remains available, even if the data is no longer available.	Access/ integration, Sustainability/ funding/ business-model	data service providers, research funders, institutions, policy makers	FAIRsFAIR Data Object Assessment Metrics	metadata, persistance	FAIRsFAIR
FsF-F1-01D Data is assigned a globally unique identifier.	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers, research community, data stewards	FAIRsFAIR Data Object Assessment Metrics	globally unique identifier	FAIRsFAIR
FsF-F1-02D Data is assigned a persistent identifier.	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers, research community, data stewards	FAIRsFAIR Data Object Assessment Metrics	persistent identifier, PID	FAIRsFAIR
FsF-F2-01M Metadata includes descriptive core elements (creator, title, data identifier, publisher, publication date, summary and keywords) to support data findability.	Metadata richness/ ingest/ submission, Discovery/ indexing/ search	data service providers, research community, data stewards	FAIRsFAIR Data Object Assessment Metrics	metadata, descriptive, core	FAIRsFAIR
FsF-F3-01M Metadata includes the identifier of the data it describes.	Interlinking/ interoperability	data stewards	FAIRsFAIR Data Object Assessment Metrics	metadata, PID, identifier	FAIRsFAIR
FsF-F4-01M Metadata is offered in such a way that it can be retrieved by machines.	Machine-actionability	data service providers	FAIRsFAIR Data Object Assessment Metrics	machine-actionable, metadata	FAIRsFAIR
FsF-I1-01M Metadata is represented using a formal knowledge representation language.	Access/ integration, Interlinking/ interoperability	data service providers	FAIRsFAIR Data Object Assessment Metrics	metadata, PID, using	FAIRsFAIR
FsF-I1-02M Metadata uses semantic resources.	Metadata richness/ ingest/ submission, Interlinking/ interoperability	data service providers	FAIRsFAIR Data Object Assessment Metrics	metadata, semantics, terminology	FAIRsFAIR
FsF-I3-01M Metadata includes links between the data and its related entities.	Metadata richness/ ingest/ submission, Interlinking/ interoperability	data service providers, research community, data stewards	FAIRsFAIR Data Object Assessment Metrics	metadata, links	FAIRsFAIR
FsF-R1-01MD Metadata specifies the content of the data.	Metadata richness/ ingest/ submission	data service providers, research community, data stewards	FAIRsFAIR Data Object Assessment Metrics	metadata, API	FAIRsFAIR
FsF-R1.1-01M Metadata includes license information under which data can be reused.	Metadata richness/ ingest/ submission	data service providers, research community, data stewards	FAIRsFAIR Data Object Assessment Metrics	metadata, licences, reuse, rights, legal	FAIRsFAIR
FsF-R1.2-01M Metadata includes provenance information about data creation or generation.	Metadata richness/ ingest/ submission	data service providers, research community, data stewards	FAIRsFAIR Data Object Assessment Metrics	metadata, PID, provenance	FAIRsFAIR
FsF-R1.3-01M Metadata follows a standard recommended by the target research community of the data.	Interlinking/ interoperability	data service providers, research community, coordination fora	FAIRsFAIR Data Object Assessment Metrics	metadata, standard, target community	FAIRsFAIR
FsF-R1.3-02D Data is available in a file format recommended by the target research community.	Machine-actionability	data service providers, research community, data stewards	FAIRsFAIR Data Object Assessment Metrics	file formats, target community	FAIRsFAIR
Give Early Career Researchers (ECR’s) the foundational skills in Data Science to work with their data.	Capacity building/ incentivisation	institutions, data stewards	A curriculum for foundational Research Data Science skills for Early Career Researchers	capacity, early career researchers, training	RDA/CODATA Summer Schools in Data Science and Cloud Computing in the Developing World WG
Guidelines (Policy): M.2-1 The operators publicly provide a policy that describes the services.	Policy	data service providers	DINI Certificate for Open Access Publication Services 2019	policy, services	DINI Working Group "Electronic Publishing"
Identification of data collections	Policy, Quality control/ curation	data stewards, policy makers	Principles and best practices in data versioning for all datasets big and small	data collections, PID, persistent identifiers	RDA Data Versioning WG
Identifiers for dataset revisions	Quality control/ curation	data service providers, data stewards	Principles and best practices in data versioning for all datasets big and small	versioning, PID, persistent identifiers	RDA Data Versioning WG
Identifying manifestations of datasets	Quality control/ curation	data stewards	Principles and best practices in data versioning for all datasets big and small	identification, manifestations, PID	RDA Data Versioning WG
Identifying releases of data products	Quality control/ curation	data stewards	Principles and best practices in data versioning for all datasets big and small	releases, versioning	RDA Data Versioning WG
Implement a common standard for machine-actionable data management plans	Machine-actionability	data service providers	RDA DMP Common Standard for Machine-actionable Data Management Plans	machine-actionability, data management plans, DMP	RDA DMP Common Standards WG
Implement a metadata schema for exchanging information about the links between scholarly literature and data	Interlinking/ interoperability	data service providers, publishers	Scholix Metadata Schema for Exchange of Scholarly Communication Links	metadata schema, scholarly literature, metadata, scholarly, interlinking	RDA/WDS Scholarly Link Exchange (Scholix) WG
Implement best practice data publishing workflows and standards and make researchers aware of that	Capacity building/ incentivisation	data stewards	Workflows for Research Data Publishing: Models and Key Components	data publication, publishing workflows	RDA/WDS Publishing Data Workflows WG
Implement data versioning practices	Quality control/ curation	data service providers, data stewards	Compilation of Data Versioning Use cases from the RDA Data Versioning Working Group	data versioning	RDA Data Versioning WG
Implement globally unique, persistent and resolvable identification of instruments	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers	Persistent Identification of Instruments	PID, identifier, instruments	RDA Working Group Persistent Identification of Instruments (PIDINST)
Implement interoperable packaging and exchange formats/standards for digital content to enhance cross-repository platform interoperability.	Interlinking/ interoperability	data service providers	Research Data Repository Interoperability WG Final Recommendations	interoperability, exchange formats, formats standards	RDA Research Data Repository Interoperability WG
Improve referenceability of scholarly outputs	Interlinking/ interoperability	data service providers, publishers	recommendations from the dfg *metrics project	interlinking, relationships	DINI - Deutsche Initiative für Netzwerkinformation e.V.
Increase professional reward for curation, maintainance or collection with propper metadata attribution using the PROV standard	Metadata richness/ ingest/ submission	data service providers, data stewards	RDA/TDWG Attribution Metadata Working Group: Final Recommendations	metadata, reward, attribution, PROV	RDA/TDWG Attribution Metadata WG
Integration of PIDs into data management	Interlinking/ interoperability, Metadata richness/ ingest/ submission	data service providers, data stewards	Matrix of use cases and functional requirements for research data repository platforms	Persistent identifiers	RDA Repository Platforms for Research Data Interest Group
Legal: A clear list of EOSC-recommended licenses and their compatibility with Member States’ recommended licenses.	Quality control/ curation	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Legal: Additional restrictions on access and use of data only applied in cases of applicable legislation or legitimate reasons.	Access/ integration	data service providers	EOSC Interoperability Framework	-	European Commission
Legal: Alignment between Member States national legislations and EOSC.	Policy	policy makers, data service providers	EOSC Interoperability Framework	-	European Commission
Legal: Clearly marked instances of expired or inexistent copyright, as well as for orphan data.	Quality control/ curation	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Legal: GDPR-compliance for personal data.	Quality control/ curation	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Legal: Harmonised policy and guidance to dealing with cases where patent filing or trade secrets may be compromised by disclosure.	Policy	policy makers, data service providers	EOSC Interoperability Framework	-	European Commission
Legal: Harmonised terms of use across repositories	Policy	policy makers, data service providers	EOSC Interoperability Framework	-	European Commission
Legal: Identification of different parts of a dataset with different licenses.	Quality control/ curation	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Legal: Permissive licenses for metadata (and preferably for data, whenever possible). And CC0 preferred over CC BY 4.0.	Quality control/ curation	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Legal: Standardised human and machine-readable licenses, with a centralised source of knowledge and support on copyright and licenses.	Capacity building/ incentivisation, Quality control/ curation, Machine-actionability	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Legal: Tracking of license evolution over time for datasets.	Quality control/ curation	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
M.4-1 The legal relationship between author(s) and publisher(s) (rights holders) and the operating institution is governed in a formal agreement (granting of rights).	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, agreement, policy	DINI Working Group "Electronic Publishing"
M.4-10 The operators document the legal attributes of the published documents in their resp. metadata to make them accessible for machine-reading.	Metadata richness/ ingest/ submission, Machine-actionability	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, license, agreement, machine-readability	DINI Working Group "Electronic Publishing"
M.4-11 The legal attributes of the documents are available in machine-readable form on the web frontend to make them accessible for users.	Access/ integration, Machine-actionability	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, license, agreement, machine-readability	DINI Working Group "Electronic Publishing"
M.4-2 The operators publish the deposit license(s) in the country’s official language(s) where the service is based	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, language	DINI Working Group "Electronic Publishing"
M.4-3 The right to store the publication electronically and to make the publication available to the public	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, agreement, policy	DINI Working Group "Electronic Publishing"
M.4-4 The right to notify and transfer the document to third parties, e.g. within the framework of national collection mandates, especially for the purpose of long-term archiving.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, agreement, policy	DINI Working Group "Electronic Publishing"
M.4-5 The right to copy and to convert the document for archiving purposes into additional, different electronic or physical formats while retaining the content’s integrity	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, agreement, policy	DINI Working Group "Electronic Publishing"
M.4-6 When registering a document, the author has the option of selecting a license that defines user rights. A preselection takes stan-dardized license models into account; licenses conforming to the Open Definition9are encouraged.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, license, agreement, policy	DINI Working Group "Electronic Publishing"
M.4-8 The copyright holders assure the operators that no third-party rights will be violated by publishing the document or parts thereof. Should third-party rights be asserted following publication, the copy-right holders warrant that they will immediately inform the operators thereof.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, license, agreement, policy	DINI Working Group "Electronic Publishing"
M.4-9 A legal notice is published on the website that meets legal requirements.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, license, agreement, policy	DINI Working Group "Electronic Publishing"
M.5-1 A security concept exists for the technical system that forms the basis for the service.	Quality control/ curation, Sustainability/ funding/ business-model	data service providers	DINI Certificate for Open Access Publication Services 2019	security	DINI Working Group "Electronic Publishing"
M.5-10 Data exchange between web servers and users’ web browsers during login and the publication process takes place using current TSL technologies, e.g. SSL.	Quality control/ curation	data service providers	DINI Certificate for Open Access Publication Services 2019	security	DINI Working Group "Electronic Publishing"
M.5-2 There is an operations concept in place that includes a technical maintenance plan	Sustainability/ funding/ business-model	data service providers	DINI Certificate for Open Access Publication Services 2019	technical maintainance	DINI Working Group "Electronic Publishing"
M.5-3 There is written documentation available on the technical system and all of its components needed for the operation of the system.	Quality control/ curation, Sustainability/ funding/ business-model	data service providers	DINI Certificate for Open Access Publication Services 2019	documentation	DINI Working Group "Electronic Publishing"
M.5-4 All data and documents are regularly saved in a back-up procedure.	Quality control/ curation, Sustainability/ funding/ business-model	data service providers	DINI Certificate for Open Access Publication Services 2019	back-up	DINI Working Group "Electronic Publishing"
M.5-5 Autonomous software regularly monitors the availability of the servers that are necessary for the service’s operation.	Quality control/ curation, Sustainability/ funding/ business-model	data service providers	DINI Certificate for Open Access Publication Services 2019	monitoring, service availablity	DINI Working Group "Electronic Publishing"
M.5-6 Documents uploaded to the publication service will not be al-tered.	Sustainability/ funding/ business-model	data service providers	DINI Certificate for Open Access Publication Services 2019	persistance	DINI Working Group "Electronic Publishing"
M.5-7 Every document (and every version) uploaded to and published by the publication service is assigned a Persistent Identifier (PI)	Interlinking/ interoperability	data service providers	DINI Certificate for Open Access Publication Services 2019	PID, identifier	DINI Working Group "Electronic Publishing"
M.5-8 Persistent identifiers are provided on the service’s website and in the exported metadata as primary identifiers in the form of an operable URL.	Interlinking/ interoperability	data service providers	DINI Certificate for Open Access Publication Services 2019	PID, identifier	DINI Working Group "Electronic Publishing"
M.5-9 Documents are only deleted as an exception and subsequently documented publicly under the persistent URL of the original document.	Sustainability/ funding/ business-model	data service providers	DINI Certificate for Open Access Publication Services 2019	deletion, persistance	DINI Working Group "Electronic Publishing"
M.6-1 There is a written policy containing the indexing regulations for documents that is available online to users.	Policy, Discovery/ indexing/ search	data service providers	DINI Certificate for Open Access Publication Services 2019	indexing	DINI Working Group "Electronic Publishing"
M.6-2 Every document is represented in an indexed form that employs the means and methods of the Dublin Core element set.	Discovery/ indexing/ search	data service providers	DINI Certificate for Open Access Publication Services 2019	indexing, Dublin Core	DINI Working Group "Electronic Publishing"
M.6-3 All documents are classified using the Dewey Decimal Classi-fication (DDC), at least in accordance with the German National Bibliography’s subject headings.	Metadata richness/ ingest/ submission, Interlinking/ interoperability	data service providers	DINI Certificate for Open Access Publication Services 2019	indexing, classification	DINI Working Group "Electronic Publishing"
M.6-4 All documents are assigned document or publication type descriptions following DINI’s recommendations in Common Vocabulary for Publication and Document Types (Gemeinsames Vokabular für Publikations- und Dokumenttypen).	Metadata richness/ ingest/ submission	data service providers	DINI Certificate for Open Access Publication Services 2019	indexing, classification	DINI Working Group "Electronic Publishing"
M.6-5 There is a web interface allowing users to access all published documents and their respective metadata.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	web interface, data access, metadata access	DINI Working Group "Electronic Publishing"
M.6-6 An OAI interface is integrated that complies with the requirements of OAI-PMH 2.0 and of the DINI OAI Guidelines.	Metadata richness/ ingest/ submission, Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	API, OAI, interface	DINI Working Group "Electronic Publishing"
M.6-7 A direct export of individual metadata records resp. of search results in at least one suitable data format is available on the website.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	export, metadata export	DINI Working Group "Electronic Publishing"
M.7-1 The service keeps a consistent access log as per legal regulations.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	logging, access, monitoring	DINI Working Group "Electronic Publishing"
M.7-2 Web-server logs are anonymized or pseudonymized for long-term storage.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	logging, privacy	DINI Working Group "Electronic Publishing"
M.7-3 Automatic access is not logged for usage statistics of individual documents or data.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	access, logging	DINI Working Group "Electronic Publishing"
M.7-4 There is publicly available documentation describing the criteria and standard applied to create the statistics	Policy	data service providers	DINI Certificate for Open Access Publication Services 2019	documentation, logging	DINI Working Group "Electronic Publishing"
M.8-1 A minimum time span of no less than five years is defined for the availability of documents and their resp. metadata published via the service.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	persistance, availability, metadata	DINI Working Group "Electronic Publishing"
M.8-2 The original files and possible additional archive copies are free of any technical protection.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	license, rights	DINI Working Group "Electronic Publishing"
M.8-3 There are regulations in place for the deletion of documents	Policy	data service providers	DINI Certificate for Open Access Publication Services 2019	deletion, persistance	DINI Working Group "Electronic Publishing"
Maintain a permanent history of versions for all data	Quality control/ curation	data service providers, data stewards	Matrix of use cases and functional requirements for research data repository platforms	Preservation and Sustainability	RDA Repository Platforms for Research Data Interest Group
Maintain citations linked to the data (e.g. experiments or simulations)	Interlinking/ interoperability	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Publication	RDA Repository Platforms for Research Data Interest Group
Make data collections actionable by automated processes	Machine-actionability, Interlinking/ interoperability	data service providers	RDA Research Data Collections WG Recommendations	data collections, automation, machine-actionability	RDA Research Data Collections WG
Metadata quality evaluation	Metadata richness/ ingest/ submission, Quality control/ curation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Metadata	RDA Repository Platforms for Research Data Interest Group
Micro-services	Access/ integration	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
ORCID-Integration für Publikationsplattformen und -dienste	Interlinking/ interoperability	data service providers	Autorenidentifikation anhand der Ooen Researcher and Contributor ID (ORCID)	ORCID, author identification, person indentifier	DINI ( Vierkant, Paul; Beucke, Daniel; Deinzer, Gernot; Hartmann, Sarah; Herwig, Sebastian; Höhner, Kathrin; Müller, Uwe; Schirrwagen, Jochen; Summann, Friedrich )
Organisational: A clear management of permanent organisation names and functions.	Quality control/ curation	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Organisational: Interoperability-focused rules of participation recommendations	Interlinking/ interoperability	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Organisational: Usage recommendations of standardised data formats and/or vocabularies, and with their corresponding metadata.	Capacity building/ incentivisation, Quality control/ curation	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Policy enforcement points	Policy	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Policy Support	RDA Repository Platforms for Research Data Interest Group
Provenance of datasets	Quality control/ curation	data stewards	Principles and best practices in data versioning for all datasets big and small	provenance	RDA Data Versioning WG
Provide (authorized) users access to versions of data (e.g. different simulation runs)	Quality control/ curation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Data Access	RDA Repository Platforms for Research Data Interest Group
Provide both single and batch ingest paths	Metadata richness/ ingest/ submission	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Provide data access statistics either by the use of external analytics services or internal monitoring of user activity.	Certification/ evaluation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Publication	RDA Repository Platforms for Research Data Interest Group
Provide elementary kernel information for each PID record for scalable middleware infrastructure and automated processes.	Machine-actionability, Interlinking/ interoperability	data service providers	Recommendation on PID Kernel Information	PID, kernel profile, middleware, automation	RDA PID Kernel Information WG
Provide integrity and qiality control mechanisms for data and metadata	Quality control/ curation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Provide interfaces (APIs) for the automated execution of tasks, e.g. to ingest data or to integrate data analysis tools and other external applications	Access/ integration, Machine-actionability	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission / Ingest / Management	RDA Repository Platforms for Research Data Interest Group
Provide researchers with a mechanism to connect datasets in different data repositories based on various models such as co-authorship, joint funding, grants, etc.	Interlinking/ interoperability	data service providers, coordination fora	Data Description Registry Interoperability WG: Interlinking Method and Specification of Cross-Platform Discovery	relationships, interlinking, cross-platform, discovery, Data Description, Disseminate, Link, and Find	RDA working group "Data Description Registry Interoperability"
Provide Single-Sign-On and/or support for different authentication methods	Access/ integration	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Authentication	RDA Repository Platforms for Research Data Interest Group
Provide state-of-the-art user interfaces and clients over the life time of a repository platform	Certification/ evaluation, Access/ integration	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Data Access	RDA Repository Platforms for Research Data Interest Group
R 1: The definition of metrics should be a continuous process, taking in particular feedback from implementation into account. We recommend that the metrics are reviewed after two years initially, then every three years.	Certification/ evaluation	data service providers	Recommendations on FAIR Metrics for EOSC	metrics	European Commission Directorate-General for Research and Innovation Directorate G — Research and Innovation Outreach Unit G.4 — Open Science
R 2: Identify what resources are to be marked up with structured data	Discovery/ indexing/ search, Interlinking/ interoperability, Machine-actionability	data service providers, data stewards	Guidelines for publishing structured metadata on the Web V3.0	metadata	RDA Research Metadata Schemas WG
R 2: Inclusiveness should be a key attribute.	Certification/ evaluation	data service providers	Recommendations on FAIR Metrics for EOSC	inclusiveness, metrics	European Commission Directorate-General for Research and Innovation Directorate G — Research and Innovation Outreach Unit G.4 — Open Science
R 2.1: Diversity, especially across communities, should be taken into account. Priorities on criteria should be adopted to the specific case.	Certification/ evaluation	data service providers	Recommendations on FAIR Metrics for EOSC	diversity	European Commission Directorate-General for Research and Innovation Directorate G — Research and Innovation Outreach Unit G.4 — Open Science
R 2.2: FAIR should be considered as a journey. Gradual implementation is to be expected in general, and evaluation tools should enable one to measure progress.	Certification/ evaluation	data service providers	Recommendations on FAIR Metrics for EOSC	FAIR, gradual implementation, evaluation tools	European Commission Directorate-General for Research and Innovation Directorate G — Research and Innovation Outreach Unit G.4 — Open Science
R 2.3: Resources should be able to interface with EOSC with a minimal overhead, and the existing data and functionalities should remain available.	Certification/ evaluation, Interlinking/ interoperability	data service providers	Recommendations on FAIR Metrics for EOSC	interface, exchange, EOSC, continuity	European Commission Directorate-General for Research and Innovation Directorate G — Research and Innovation Outreach Unit G.4 — Open Science
R 3: Adopt or develop a crosswalk from your repository schema to Schema.org	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers	Guidelines for publishing structured metadata on the Web V3.0	metadata, schema, cross-walk, schema.org	RDA Research Metadata Schemas WG
R 3: Do not reinvent the wheel: the starting point for FAIR data metrics at this stage should be the criteria defined by the RDA FAIR Data Maturity Model Working Group. Groups defining metrics for their own use case should start with these criteria, and then liaise with the RDA Maintenance Group to provide feedback and participate in discussions on possible updates of the criteria and on priorities.	Certification/ evaluation	data service providers	Recommendations on FAIR Metrics for EOSC	reuse, metrics	European Commission Directorate-General for Research and Innovation Directorate G — Research and Innovation Outreach Unit G.4 — Open Science
R 4: Evaluation methods and tools should be thoroughly assessed in a variety of contexts with broad consultation, in particular in different domains to ensure they scale and meet diverse community FAIR practices.	Certification/ evaluation	data service providers	Recommendations on FAIR Metrics for EOSC	metrics	European Commission Directorate-General for Research and Innovation Directorate G — Research and Innovation Outreach Unit G.4 — Open Science
R 4: Incorporate external vocabularies as necessary	Interlinking/ interoperability	data service providers, data stewards	Guidelines for publishing structured metadata on the Web V3.0	vocabulary, terminology, semantics	RDA Research Metadata Schemas WG
R 5: FAIR metrics should be developed for digital objects other than data, which may require that the FAIR guidelines be translated to suit these objects, particularly software source code.	Certification/ evaluation	data service providers	Recommendations on FAIR Metrics for EOSC	metrics, FAIR digital objects	European Commission Directorate-General for Research and Innovation Directorate G — Research and Innovation Outreach Unit G.4 — Open Science
R 5: Implement markup syntax consistently by following community practices	Interlinking/ interoperability	data service providers	Guidelines for publishing structured metadata on the Web V3.0	metadata	RDA Research Metadata Schemas WG
R 6: Be friendly to web crawlers	Discovery/ indexing/ search	data service providers	Guidelines for publishing structured metadata on the Web V3.0	SEO, crawlers, discovery	RDA Research Metadata Schemas WG
R 6: Guidance should be provided from and to communities for evaluation and implementation.	Certification/ evaluation, Capacity building/ incentivisation	data service providers	Recommendations on FAIR Metrics for EOSC	training, guidance, community	European Commission Directorate-General for Research and Innovation Directorate G — Research and Innovation Outreach Unit G.4 — Open Science
R 7: Cross-domain usage should be developed in a pragmatic way based on use-cases, and metrics should be carefully tailored in that respect.	Certification/ evaluation	data service providers	Recommendations on FAIR Metrics for EOSC	domain-agnostic, metrics	European Commission Directorate-General for Research and Innovation Directorate G — Research and Innovation Outreach Unit G.4 — Open Science
R 7: Utilise tools that can help you (customise, create, mark up, validate, extract)	Discovery/ indexing/ search, Quality control/ curation	data service providers	Guidelines for publishing structured metadata on the Web V3.0	automation	RDA Research Metadata Schemas WG
R 8: Document and share the whole process	Capacity building/ incentivisation	data service providers	Guidelines for publishing structured metadata on the Web V3.0	policy, documentation	RDA Research Metadata Schemas WG
R 9: Identify and join a community, and follow their established practices	Sustainability/ funding/ business-model	data service providers, coordination fora	Guidelines for publishing structured metadata on the Web V3.0	community, communication, exchange	RDA Research Metadata Schemas WG
R.3-1 At least one of the following APIs is integrated to support clarification of rights	Machine-actionability, Interlinking/ interoperability	data service providers	DINI Certificate for Open Access Publication Services 2019	API, legal, rights	DINI Working Group "Electronic Publishing"
R.3-2 The embedding of freely available bibliographical sources supports the upload of secondary publications.	Interlinking/ interoperability	data service providers	DINI Certificate for Open Access Publication Services 2019	bibliographical sources	DINI Working Group "Electronic Publishing"
R.3-3 To facilitate author identification, the entry of an Open Researcher and Contributor ID (ORCID) is optionally offered during the upload to allow authors to be linked to their ORCID	Interlinking/ interoperability	data service providers	DINI Certificate for Open Access Publication Services 2019	ORCID, ResearcherID, person identifiers, PID	DINI Working Group "Electronic Publishing"
R.3-4 As an alternative to independent uploads by the authors/publishers, a central institution offers an upload service to authors/publishers. Information about this should be provided on the service’s website.	Metadata richness/ ingest/ submission	data service providers	DINI Certificate for Open Access Publication Services 2019	data upload	DINI Working Group "Electronic Publishing"
R.3-5 Workflow systems are offered to assist publishers with extensive publication projects. Information about this should be provided on the service’s website.	Metadata richness/ ingest/ submission	data service providers	DINI Certificate for Open Access Publication Services 2019	supporting services	DINI Working Group "Electronic Publishing"
R.3-6 Specific information is offered about citation of the offered elec-tronic documents.	Capacity building/ incentivisation	data service providers	DINI Certificate for Open Access Publication Services 2019	citation	DINI Working Group "Electronic Publishing"
R.3-7 The operating institution offers information about the Open Researcher and Contributor ID (ORCID) and about other author identification standards.	Capacity building/ incentivisation	data service providers	DINI Certificate for Open Access Publication Services 2019	ORCID, ResearcherID, person identifiers, PID	DINI Working Group "Electronic Publishing"
R.3-8 The available information or parts thereof are also provided in English	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	language	DINI Working Group "Electronic Publishing"
R.4-3 If a deposit license is used to grant rights, it should additionally be available online in English.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, license, agreement, language	DINI Working Group "Electronic Publishing"
R.4-4 The operators are allowed to transfer rights granted in the deposit license in full or in part, to third parties and to transfer non-exclusive copyrights to other repositories without the specific consent of the copyright holders.	Sustainability/ funding/ business-model	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, license, agreement, policy	DINI Working Group "Electronic Publishing"
R.4-5 The operators license the documents’ metadata under CC0 or the Open Data Commons Open Database License (ODbL)	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	legal, rights, license, open	DINI Working Group "Electronic Publishing"
R.5-1 The individual document’s integrity is regularly verified through internal processesusing a hash value.	Quality control/ curation	data service providers	DINI Certificate for Open Access Publication Services 2019	integrity, hash value	DINI Working Group "Electronic Publishing"
R.5-2 Upon publication of a new version of a document, the older version is marked as not current and links to the new version.	Quality control/ curation	data service providers	DINI Certificate for Open Access Publication Services 2019	versioning	DINI Working Group "Electronic Publishing"
R.6-1 In addition to the German National Bibliography’s subject headings, verbal (uncontrolled keywords) or an (interdisciplinary or intradisciplinary) classificatory subject indexing is performed.	Metadata richness/ ingest/ submission, Interlinking/ interoperability, Discovery/ indexing/ search	data service providers	DINI Certificate for Open Access Publication Services 2019	indexing, classification, subject, keywords, terminology	DINI Working Group "Electronic Publishing"
R.6-2 English keywords are assigned to all metadata sets.	Metadata richness/ ingest/ submission, Discovery/ indexing/ search	data service providers	DINI Certificate for Open Access Publication Services 2019	language, metadata, keywords	DINI Working Group "Electronic Publishing"
R.6-3 Short summaries or abstracts in English and German are offered in all metadata sets	Metadata richness/ ingest/ submission, Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	language, metadata, abstract, description	DINI Working Group "Electronic Publishing"
R.6-4 The metadata (e.g. of parts of the holdings) are provided in additional metadata formats and are available via the OAI interface.	Access/ integration, Machine-actionability	data service providers	DINI Certificate for Open Access Publication Services 2019	metadata, OAI, API, interface	DINI Working Group "Electronic Publishing"
R.6-5 Metadata are made publicly available via additional interfaces	Access/ integration, Machine-actionability	data service providers	DINI Certificate for Open Access Publication Services 2019	metadata, access, interface	DINI Working Group "Electronic Publishing"
R.6-6 Authors’ names are linked to norm data.	Interlinking/ interoperability	data service providers	DINI Certificate for Open Access Publication Services 2019	person identifiers, norm data, PID	DINI Working Group "Electronic Publishing"
R.6-7 A SWORD API is used for the (semi-)automated import of data into the publication service.	Interlinking/ interoperability	data service providers	DINI Certificate for Open Access Publication Services 2019	data import, API, interface	DINI Working Group "Electronic Publishing"
R.7-1 Access statistics are listed with every document as dynamic metadata and are publicly available	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	logging, access, metadata	DINI Working Group "Electronic Publishing"
R.7-2 Access to individual documents is counted using the COUNTER standard.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	logging, access, metadata	DINI Working Group "Electronic Publishing"
R.7-3 Data transfer to a service provider such as OpenAIRE is sup-ported.	Interlinking/ interoperability	data service providers	DINI Certificate for Open Access Publication Services 2019	data transfer, OpenAIRE	DINI Working Group "Electronic Publishing"
R.7-4 Alternative metrics on the documents are provided. In most cases, this requires a DOI.	Interlinking/ interoperability	data service providers	DINI Certificate for Open Access Publication Services 2019	metrics, DOI, PID	DINI Working Group "Electronic Publishing"
R.7-5 Citation figures are displayed for the documents. In most cases, this requires a DOI.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	metrics, DOI, PID	DINI Working Group "Electronic Publishing"
R.8-1 Long-term availability of the documents is ensured.	Sustainability/ funding/ business-model, Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	deletion, persistance	DINI Working Group "Electronic Publishing"
R.8-2 Open file formats facilitating long-term availability are used to store documents	Sustainability/ funding/ business-model, Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	file formats, long-term availiability, persistance	DINI Working Group "Electronic Publishing"
R.8-3 A basic metadata set is kept for deleted documents	Sustainability/ funding/ business-model	data service providers	DINI Certificate for Open Access Publication Services 2019	deletion, persistance, metadata	DINI Working Group "Electronic Publishing"
R1 – Data Versioning: Apply versioning to ensure earlier states of data sets can be retrieved.	Quality control/ curation	data service providers	Data Citation of Evolving Data	data versioning	RDA Data Citation WG
R1. Clarify the purpose(s) of your markup (or why you want to markup your data)	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers, data stewards	Guidelines for publishing structured metadata on the Web V3.0	metadata	RDA Research Metadata Schemas WG
R1. The repository has an explicit mission to provide access to and preserve data in its domain.	Policy	data service providers	Core Trustworthy Data Repositories Requirements v01.00	repository, policy, persistence, continuity	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R10 – Automated Citation Texts: Generate citation texts in the format prevalent in the designated community for lowering the barrier for citing the data. Include the PID into the citation text snippet.	Metadata richness/ ingest/ submission	data service providers	Data Citation of Evolving Data	citation, automation, PID	RDA Data Citation WG
R10. The repository assumes responsibility for long -term preservation and manages this function in a planned and documented way.	Sustainability/ funding/ business-model	data service providers	Core Trustworthy Data Repositories Requirements v01.00	repository, preservation, persistence, continuity	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R11 – Landing Page: Make the PIDs resolve to a human readable landing page that provides the data (via query re-execution) and metadata, including a link to the superset (PID of the data source) and citation text snippet.	Discovery/ indexing/ search	data service providers	Data Citation of Evolving Data	PID, landing page, meadata	RDA Data Citation WG
R11. The repository has appropriate expertise to address technical data and metadata quality and ensures that sufficient information is available for end users to make quality-related evaluations.	Quality control/ curation, Metadata richness/ ingest/ submission	data service providers, data stewards	Core Trustworthy Data Repositories Requirements v01.00	repository, metadata quality	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R12 – Machine Actionability: Provide an API / machine actionable landing page to access metadata and data via query re-execution.	Machine-actionability	data service providers	Data Citation of Evolving Data	machine actionability, metadata, landing page	RDA Data Citation WG
R12. Archiving takes place according to defined workflows from ingest to dissemination.	Access/ integration, Metadata richness/ ingest/ submission	data service providers	Core Trustworthy Data Repositories Requirements v01.00	archiving, workflows	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R13 – Technology Migration: When data is migrated to a new representation (e.g. new database system, a new schema or a completely different technology), migrate also the queries and associated fixity information.	Sustainability/ funding/ business-model, Quality control/ curation	data service providers	Data Citation of Evolving Data	migration, technology migration, fixity	RDA Data Citation WG
R13. The repository enables users to discover the data and refer to them in a persistent way through proper citation.	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers	Core Trustworthy Data Repositories Requirements v01.00	repository, persistence, citation, discovery	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R14 – Migration Verification: Verify successful data and query migration, ensuring that queries can be re-executed correctly.	Sustainability/ funding/ business-model, Quality control/ curation	data service providers	Data Citation of Evolving Data	migration, migration verification, query migration	RDA Data Citation WG
R14. The repository enables reuse of the data over time, ensuring that appropriate metadata are available to support the understanding and use of the data.	Metadata richness/ ingest/ submission	data service providers	Core Trustworthy Data Repositories Requirements v01.00	metadata, repository	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R15. The repository functions on well-supported operating systems and other core infrastructural software and is using hardware and software technologies appropriate to the services it provides to its Designated Community.	Access/ integration	data service providers	Core Trustworthy Data Repositories Requirements v01.00	repository, operating system, hardware, software	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R16. The technical infrastructure of the repository provides for protection of the facility and its data, products, services, and users.	Certification/ evaluation	data service providers	Core Trustworthy Data Repositories Requirements v01.00	repository, security, protection	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R2 – Timestamping: Ensure that operations on data are timestamped, i.e. any additions, deletions are marked with a timestamp.	Quality control/ curation	data service providers	Data Citation of Evolving Data	timestamping	RDA Data Citation WG
R2. The repository maintains all applicable licenses covering data access and use and monitors compliance.	Quality control/ curation	data service providers	Core Trustworthy Data Repositories Requirements v01.00	repository, licenses, rights	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R3 – Query Store Facilities : Provide means for storing queries and the associated metadata in order to re-execute them in the future.	Discovery/ indexing/ search	data service providers	Data Citation of Evolving Data	query, discovery	RDA Data Citation WG
R3. The repository has a continuity plan to ensure ongoing access to and preservation of its holdings.	Sustainability/ funding/ business-model	data service providers	Core Trustworthy Data Repositories Requirements v01.00	repository, continuity, persistence, access	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R4 – Query Uniqueness : Re-write the query to a normalised form so that identical queries can be detected. Compute a checksum of the normalized query to efficiently detect identical queries.	Discovery/ indexing/ search	data service providers	Data Citation of Evolving Data	query, discovery	RDA Data Citation WG
R4. The repository ensures, to the extent possible, that data are created, curated, accessed, and used in compliance with disciplinary and ethical norms.	Quality control/ curation	data service providers	Core Trustworthy Data Repositories Requirements v01.00	repository, ethics, norms	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R5 – Stable Sorting : Ensure that the sorting of the records in the data set is unambiguous and reproducible	Discovery/ indexing/ search	data service providers	Data Citation of Evolving Data	sorting, discovery	RDA Data Citation WG
R5. The repository has adequate funding and sufficient numbers of qualified staff managed through a clear system of governance to effectively carry out the mission.	Sustainability/ funding/ business-model	data service providers, research funders, institutions	Core Trustworthy Data Repositories Requirements v01.00	repository, funding, governance, continuity	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R6 – Result Set Verification: Compute fixity information (checksum) of the query result set to enable verification of the correctness of a result upon re-execution.	Discovery/ indexing/ search	data service providers	Data Citation of Evolving Data	compute fixity	RDA Data Citation WG
R6. The repository adopts mechanism(s) to secure ongoing expert guidance and feedback (either in-house, or external, including scientific guidance, if relevant).	Certification/ evaluation	data service providers	Core Trustworthy Data Repositories Requirements v01.00	repository, guidance	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R7 – Query Timestamping: Assign a timestamp to the query based on the last update to the entire database (or the last update to the selection of data affected by the query or the query execution time). This allows retrieving the data as it existed at the time a user issued a query.	Discovery/ indexing/ search	data service providers	Data Citation of Evolving Data	query timestamping, discovery	RDA Data Citation WG
R7. The repository guarantees the integrity and authenticity of the data.	Quality control/ curation	data service providers	Core Trustworthy Data Repositories Requirements v01.00	repository, integrity, authenticity	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R8 – Query PID : Assign a new PID to the query if either the query is new or if the result set returned from an earlier identical query is different due to changes in the data. Otherwise, return the existing PID.	Discovery/ indexing/ search	data service providers	Data Citation of Evolving Data	query, PID, discovery	RDA Data Citation WG
R8. The repository accepts data and metadata based on defined criteria to ensure relevance and understandability for data users.	Policy	data service providers	Core Trustworthy Data Repositories Requirements v01.00	metadata, relevance, repository	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
R9 – Store Query: Store query and metadata (e.g. PID, original and normalized query, query & result set checksum, timestamp, superset PID, data set description, and other) in the query store.	Discovery/ indexing/ search	data service providers	Data Citation of Evolving Data	query, metadata, PID, discovery	RDA Data Citation WG
R9. The repository applies documented processes and procedures in managing archival storage of the data.	Quality control/ curation	data service providers	Core Trustworthy Data Repositories Requirements v01.00	archival, storage, repository	RDA DSA–WDS Partnership Working Group on Repository Audit and Certification
RDA-A1-01M: Metadata contains information to enable th e user to get access to the data	Machine-actionability, Access/ integration	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, data access	RDA FAIR Data Maturity Model WG
RDA-A1-02D: Data can be accessed manually (i.e. with h uman intervention)	Access/ integration	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data access	RDA FAIR Data Maturity Model WG
RDA-A1-02M: Metadata can be accessed manually (i.e. with human intervention)	Access/ integration	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata access	RDA FAIR Data Maturity Model WG
RDA-A1-03D: Data identifier resolves to a digital object	Access/ integration	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data, digital object	RDA FAIR Data Maturity Model WG
RDA-A1-03M: Metadata identifier resolves to a metadata record	Access/ integration	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, PID, persistent identifier	RDA FAIR Data Maturity Model WG
RDA-A1-04D: Data is accessible through standardised protocol	Access/ integration, Machine-actionability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data access, standard communication protocol	RDA FAIR Data Maturity Model WG
RDA-A1-04M: Metadata is accessed through standardised protocol	Access/ integration, Machine-actionability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, access, standard communication protocol	RDA FAIR Data Maturity Model WG
RDA-A1-05D: Data can be accessed automatically (i.e. by a computer program)	Access/ integration, Machine-actionability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data access, machine-actionability, automation	RDA FAIR Data Maturity Model WG
RDA-A1.1-01D: Data is accessible through a free access protocol	Access/ integration	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data access, free access protocol	RDA FAIR Data Maturity Model WG
RDA-A1.1-01M: Metadata is accessible through a free access protocol	Access/ integration	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, access, free access protocol	RDA FAIR Data Maturity Model WG
RDA-A1.2-01D: Data is accessible through an access protocol that supports authentication and authorisation	Access/ integration	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data access, access protocol, authentication, authorisation	RDA FAIR Data Maturity Model WG
RDA-A2-01M: Metadata is guaranteed to remain available after data is no longer available	Sustainability/ funding/ business-model	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, persistance, continuity	RDA FAIR Data Maturity Model WG
RDA-F1-01D: Data is identified by a persistent identifier	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	persistent identifier, PID	RDA FAIR Data Maturity Model WG
RDA-F1-01M: Metadata is identified by a persistent identifier	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	persistent identifier, metadata, PID	RDA FAIR Data Maturity Model WG
RDA-F1-02D: Data is identified by a globally unique identifier	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data, globally unique identifier	RDA FAIR Data Maturity Model WG
RDA-F1-02M: Metadata is identified by a globally unique identifier	Discovery/ indexing/ search, Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, globally unique identifier	RDA FAIR Data Maturity Model WG
RDA-F2-01M: Rich metadata is provided to allow discovery	Metadata richness/ ingest/ submission, Discovery/ indexing/ search	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, richness, discovery	RDA FAIR Data Maturity Model WG
RDA-F3-01M: Metadata includes the identifier for the data	Metadata richness/ ingest/ submission, Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, PID, persistent identifier	RDA FAIR Data Maturity Model WG
RDA-F4-01M: Metadata is offered in such a way that it can be harvested and indexed	Metadata richness/ ingest/ submission, Discovery/ indexing/ search	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, harvesting, crawlers, indexing	RDA FAIR Data Maturity Model WG
RDA-I1-01D: Data uses knowledge representation expressed in standardised format	Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data, knowledge representation, standard	RDA FAIR Data Maturity Model WG
RDA-I1-01M: Metadata uses knowledge representation expressed in standardised format	Metadata richness/ ingest/ submission, Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, knowledge representation, standard	RDA FAIR Data Maturity Model WG
RDA-I1-02D: Data uses machine-understandable knowledge representation	Interlinking/ interoperability, Machine-actionability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data, knowledge representation, machine-actionability	RDA FAIR Data Maturity Model WG
RDA-I1-02M: Metadata uses machine -understandable knowledge representation	Interlinking/ interoperability, Machine-actionability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, knowledge representation, machine-actionability	RDA FAIR Data Maturity Model WG
RDA-I2-01D: Data uses FAIR-compliant vocabularies	Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data, vocabulary, terminology, semantics	RDA FAIR Data Maturity Model WG
RDA-I2-01M: Metadata uses FAIR-compliant vocabularies	Metadata richness/ ingest/ submission, Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, vocabulary, terminology, semantics	RDA FAIR Data Maturity Model WG
RDA-I3-01D: Data includes references to other data	Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data, references, interlinking	RDA FAIR Data Maturity Model WG
RDA-I3-01M: Metadata includes references to other metadata	Metadata richness/ ingest/ submission, Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, references, interlinking	RDA FAIR Data Maturity Model WG
RDA-I3-02D: Data includes qualified references to other data	Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data, references, interlinking	RDA FAIR Data Maturity Model WG
RDA-I3-02M: Metadata includes references to other data	Metadata richness/ ingest/ submission, Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, references, interlinking	RDA FAIR Data Maturity Model WG
RDA-I3-03M: Metadata includes qualified references to other metadata	Metadata richness/ ingest/ submission, Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, references, interlinking	RDA FAIR Data Maturity Model WG
RDA-I3-04M: Metadata include qualified references to other data	Metadata richness/ ingest/ submission, Interlinking/ interoperability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, references, interlinking	RDA FAIR Data Maturity Model WG
RDA-R1-01M: Plurality of accurate and relevant attributes are provided to allow reuse	Metadata richness/ ingest/ submission	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	reuse, metadata, richness	RDA FAIR Data Maturity Model WG
RDA-R1.1-01M: Metadata includes information about the licence under which the data can be reused	Metadata richness/ ingest/ submission	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	reuse, metadata, licences, rights	RDA FAIR Data Maturity Model WG
RDA-R1.1-02M: Metadata refers to a standard reuse licence	Metadata richness/ ingest/ submission	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	reuse, metadata, licences, rights	RDA FAIR Data Maturity Model WG
RDA-R1.1-03M: Metadata refers to a machine -understandable reuse licence	Metadata richness/ ingest/ submission, Machine-actionability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	reuse, metadata, licences, rights, machine-actionability	RDA FAIR Data Maturity Model WG
RDA-R1.2-01M: Metadata includes provenance information according to community -specific standards	Metadata richness/ ingest/ submission	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, provenance, reuse	RDA FAIR Data Maturity Model WG
RDA-R1.2-02M: Metadata includes provenance information according to a cross-community language	Metadata richness/ ingest/ submission	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, provenance, reuse	RDA FAIR Data Maturity Model WG
RDA-R1.3-01D: Data complies with a community standard	Quality control/ curation	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data, standard, community	RDA FAIR Data Maturity Model WG
RDA-R1.3-01M: Metadata complies with a community standard	Metadata richness/ ingest/ submission	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, standard, community	RDA FAIR Data Maturity Model WG
RDA-R1.3-02D: Data is expressed in compliance with a machine-understandable community standard	Quality control/ curation, Machine-actionability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	data, standard, machine-actionability	RDA FAIR Data Maturity Model WG
RDA-R1.3-02M: Metadata is expressed in compliance with a machine -understandable community standard	Metadata richness/ ingest/ submission, Machine-actionability	data service providers, data stewards	FAIR Data Maturity Model, Specification and Guidelines 2020	metadata, standard, machine-actionability	RDA FAIR Data Maturity Model WG
RDI actively develops and applies modern, strategic technologies (AI, blockchain, and so on) for better data management and re-use possibilities, possibly in collaboration with other RDIs.	Sustainability/ funding/ business-model	data service providers, institutions	Practical Guide to Sustainable Research Data	novel technologies, collaboration, networking	Science Europe
RDI aligns on RDM at (inter)national level through collaboration between RPOs, RFOs, RDIs, and research communities.	Sustainability/ funding/ business-model	data service providers, institutions	Practical Guide to Sustainable Research Data	collaboration, networking	Science Europe
RDI collaborates with research communities/stakeholders with well-developed links for feedback to improve policies.	Policy	policy makers, institutions	Practical Guide to Sustainable Research Data	policy, collaboration, allignment	Science Europe
RDI has a sustainable source of both long- and short-term financing.	Sustainability/ funding/ business-model	data service providers, institutions	Practical Guide to Sustainable Research Data	funding, cost model, business model	Science Europe
RDI has complementary services to other RDIs to ensure cost efficiency.	Sustainability/ funding/ business-model	data service providers, institutions	Practical Guide to Sustainable Research Data	funding, cost model, business model	Science Europe
RDI has complementary services to other RDIs.	Sustainability/ funding/ business-model	data service providers	Practical Guide to Sustainable Research Data	collaboration, networking, exchange	Science Europe
RDI has policies aligned with those other RDIs of related RPOs and/or RFOs and other RDIs, as well as in a wider	Policy	policy makers, institutions	Practical Guide to Sustainable Research Data	policy, collaboration, allignment	Science Europe
RDI has training requirements aligned with (inter)national policies.	Capacity building/ incentivisation	data service providers, institutions	Practical Guide to Sustainable Research Data	training, education, capacity building	Science Europe
RDI is an active member of a national RDI network, exchanging experience on technology and aiming to ensure best practice for sustainability.	Sustainability/ funding/ business-model	data service providers, institutions	Practical Guide to Sustainable Research Data	collaboration, networking	Science Europe
RDI is connected to, and where applicable co-operating with, other relevant (inter)national RDM initiatives.	Sustainability/ funding/ business-model	data service providers, institutions	Practical Guide to Sustainable Research Data	collaboration, networking	Science Europe
RDI is federated to EOSC or other relevant organisations to help improve access to funding	Sustainability/ funding/ business-model	data service providers, institutions	Practical Guide to Sustainable Research Data	federation, EOSC, funding, cost model	Science Europe
RDI offers specialist training activities (for example, on FAIR data, technical and IT skills, and financial and legal skills for data management services).	Capacity building/ incentivisation	data service providers, institutions	Practical Guide to Sustainable Research Data	training, education, capacity building, documentation	Science Europe
RDI participates in (inter)national consortia or organisations of computational centres where relevant.	Sustainability/ funding/ business-model	data service providers, institutions	Practical Guide to Sustainable Research Data	collaboration, networking	Science Europe
RDI provides a portfolio of solutions (such as training, documentation).	Capacity building/ incentivisation	data service providers, institutions	Practical Guide to Sustainable Research Data	training, education, capacity building, documentation	Science Europe
RDI provides co-ordinated procedures with other RDI to develop long-term sustainability and exit scenarios, for example through seamless exchange of data holdings.	Sustainability/ funding/ business-model	data service providers, institutions	Practical Guide to Sustainable Research Data	continuity, exchange, persistence	Science Europe
RDI provides co-ordinated procedures with other RDIs to swap data holdings potentially seamlessly if necessary.	Interlinking/ interoperability, Sustainability/ funding/ business-model	data service providers	Practical Guide to Sustainable Research Data	collaboration, networking, exchange	Science Europe
RDI provides targeted services (such as data curation, long- term preservation, data storage, computing facilities) to research groups or institutions.	Sustainability/ funding/ business-model	data service providers	Practical Guide to Sustainable Research Data	services, community	Science Europe
RDI uses appropriate communications channels to present examples of successful use of research data (best practice examples).	Capacity building/ incentivisation	data service providers	Practical Guide to Sustainable Research Data	communication, outreach	Science Europe
RDI’s policies are an integrated part of the total (inter)national RDM policy environment.	Policy	policy makers, institutions	Practical Guide to Sustainable Research Data	policy, collaboration, allignment	Science Europe
Rec. 1: Define FAIR for implementation	Policy, Capacity building/ incentivisation	research funders, coordination fora, policy makers, institutions, standards bodies	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	FAIR definition, data selection concept, long-term stewardship concept, assessability concept, legal interoperability concept, timelines of sharing concept,relationship FAIR vs. Open	European Commision
Rec. 10: Professionalise data science and data stewardship roles and train researchers	Capacity building/ incentivisation, Sustainability/ funding/ business-model	data stewards, institutions, research funders, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	capacity, training, education	European Commision
Rec. 11: Implement curriculum frameworks and training	Capacity building/ incentivisation	coordination fora, institutions, policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	capacity, training, education	European Commision
Rec. 12: Develop metrics for FAIR Digital Objects	Certification/ evaluation	coordination fora, research community	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	metrics, assessmenet	European Commision
Rec. 13: Develop metrics to certify FAIR services	Certification/ evaluation, Discovery/ indexing/ search	coordination fora, research community, data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	metrics, assessmenet, certification	European Commision
Rec. 14: Provide strategic and coordinated funding	Sustainability/ funding/ business-model	data service providers, institutions, research funders, coordination fora, policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	funding	European Commision
Rec. 15: Provide sustainable funding	Certification/ evaluation, Sustainability/ funding/ business-model	data service providers, research community	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	funding	European Commision
Rec. 16: Apply FAIR broadly	Policy, Capacity building/ incentivisation	coordination fora, institutions, data stewards, policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	scope	European Commision
Rec. 17: Align and harmonise FAIR and Open data policy	Policy, Capacity building/ incentivisation	coordination fora, research funders, policy makers, data service providers, institutions, publishers, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	FAIR, Open Data, Policy	European Commision
Rec. 18: Cost data management	Sustainability/ funding/ business-model	research funders, institutions, data stewards, research community, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	cost model, funding	European Commision
Rec. 19: Select and prioritise FAIR Digital Objects	Capacity building/ incentivisation, Policy	research community, data stewards, policy makers, institutions, research funders	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	priorisation, FAIR Digital Object	European Commision
Rec. 2: Implement a model for FAIR Digital Objects	Interlinking/ interoperability, Discovery/ indexing/ search, Access/ integration, Capacity building/ incentivisation, Metadata richness/ ingest/ submission, Quality control/ curation	data service providers, data stewards, research community, institutions, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	FAIR Digital Object, licencing, PID, FDO	European Commision
Rec. 20: Deposit in Trusted Digital Repositories	Policy, Capacity building/ incentivisation, Discovery/ indexing/ search	publishers, research community, coordination fora, policy makers, institutions, data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	repositories, data deposit	European Commision
Rec. 21: Encourage and incentivise reuse of FAIR outputs	Sustainability/ funding/ business-model, Capacity building/ incentivisation	research funders, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	reuse, incentives, reward, encouragement	European Commision
Rec. 22: Use information held in Data Management Plans	Metadata richness/ ingest/ submission, Interlinking/ interoperability, Machine-actionability, Discovery/ indexing/ search, Access/ integration, Capacity building/ incentivisation	data service providers, institutions, standards bodies, coordination fora, research community, data stewards	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	Data Management Plan, DMP	European Commision
Rec. 23: Develop FAIR components to meet research needs	Capacity building/ incentivisation, Certification/ evaluation	data service providers, research community, coordination fora, research funders	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	components, modules	European Commision
Rec. 24: Incentivise research infrastructures and other services to support FAIR data	Sustainability/ funding/ business-model, Certification/ evaluation	coordination fora, policy makers, standards bodies, data service providers, research funders, institutions	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	incentives, encourage	European Commision
Rec. 25: Implement FAIR metrics to monitor uptake	Sustainability/ funding/ business-model, Certification/ evaluation, Policy	coordination fora, research funders, data service providers, institutions, policy makers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	metrics, monitoring	European Commision
Rec. 26: Support data citation and next generation metrics	Certification/ evaluation, Interlinking/ interoperability, Capacity building/ incentivisation	data service providers, publishers, data stewards, institutions, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	data citation, metrics	European Commision
Rec. 27: Open EOSC to all providers but ensure services are FAIR	Policy	research community, data service providers, data stewards, standards bodies, coordination fora, policy makers, research funders, institutions, publishers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	open, data provision	European Commision
Rec. 3: Develop components of a FAIR ecosystem	Access/ integration, Discovery/ indexing/ search, Interlinking/ interoperability, Machine-actionability, Policy, Certification/ evaluation	data service providers, policy makers, research community, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	Data Management Plan, registries, policies, DMP, PID, repository, standard	European Commision
Rec. 4: Develop interoperability frameworks for FAIR sharing within disciplines and for interdisciplinary research	Capacity building/ incentivisation, Sustainability/ funding/ business-model, Interlinking/ interoperability	research funders, data service providers, research community, institutions, policy makers, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	interoperability, data sharing, FAIR	European Commision
Rec. 5: Ensure Data Management via DMPs	Policy, Capacity building/ incentivisation, Quality control/ curation	research funders, research community, institutions, policy makers, data service providers, data stewards, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	Data Management Plan, DMP	European Commision
Rec. 6: Recognise and reward FAIR data and data stewardship	Policy, Capacity building/ incentivisation	policy makers, institutions, data stewards, research community, research funders	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	Reward, credit, acknowledgement	European Commision
Rec. 7: Support semantic technologies	Sustainability/ funding/ business-model, Metadata richness/ ingest/ submission, Interlinking/ interoperability	research funders, standards bodies, coordination fora, data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	semantics, terminonology	European Commision
Rec. 8: Facilitate automated processing	Interlinking/ interoperability, Metadata richness/ ingest/ submission, Discovery/ indexing/ search, Access/ integration	data service providers, data stewards, coordination fora	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	automation	European Commision
Rec. 9: Develop assessment frameworks to certify FAIR services	Certification/ evaluation, Sustainability/ funding/ business-model	research funders, coordination fora, standards bodies, data service providers	Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data	metrics, assessmenet, certification	European Commision
Record audit trails	Quality control/ curation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Register metadata standards, databases, policies that are implemented in a repository in the FAIRsharing registry	Interlinking/ interoperability	data service providers	The FAIRsharing Registry and Recommendations: Interlinking Standards, Databases and Data Policies	fairsharing registry, fairsharing, standards, policy	FAIRsharing Registry: Connecting data policies, standards and databases RDA WG
Remote Access Management	Access/ integration, Quality control/ curation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Require all data to be attributed with handling requirements	Metadata richness/ ingest/ submission	data service providers, data stewards	Matrix of use cases and functional requirements for research data repository platforms	Policy Support	RDA Repository Platforms for Research Data Interest Group
Requirements for Data Citation	Quality control/ curation	data stewards	Principles and best practices in data versioning for all datasets big and small	citation	RDA Data Versioning WG
Seamless integration of data and other research outputs into a coherent and consistent discovery and access solution	Access/ integration, Discovery/ indexing/ search	data service providers	Matrix of use cases and functional requirements for research data repository platforms	User Experience, User Interface	RDA Repository Platforms for Research Data Interest Group
Semantic: A minimum metadata model (and crosswalks) to ease discovery over existing federated research data and metadata.	Metadata richness/ ingest/ submission	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Semantic: Associated documentation for semantic artefacts.	Interlinking/ interoperability, Metadata richness/ ingest/ submission	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Semantic: Clear and precise, publicly-available definitions for all concepts, metadata and data schemas.	Interlinking/ interoperability, Metadata richness/ ingest/ submission	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Semantic: Clear protocols and building blocks for the federation/harvesting of semantic artefacts catalogues.	Access/ integration, Interlinking/ interoperability	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Semantic: Extensibility options to allow for disciplinary metadata.	Metadata richness/ ingest/ submission	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Semantic: Repositories of semantic artefacts, rules with a clear governance framework.	Sustainability/ funding/ business-model	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Semantic: Semantic artefacts preferably with open licenses.	Metadata richness/ ingest/ submission	data service providers, data stewards	EOSC Interoperability Framework	-	European Commission
Share information about the links between the literature and research data.	Interlinking/ interoperability	data service providers	Interoperability Framework Recommendations	relationships, interlinking, cross-platform, discovery, Data Description, Disseminate, Link, and Find	ICSU-WDS & RDA Publishing Data Services WG
Sophisticated search capabilities for metadata and data both for humans and computers	Discovery/ indexing/ search, Machine-actionability	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Data Access	RDA Repository Platforms for Research Data Interest Group
Storage drivers	Access/ integration	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Integration	RDA Repository Platforms for Research Data Interest Group
Support for different metadata (schemas), including domain-specificity and interoperability	Metadata richness/ ingest/ submission	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Metadata	RDA Repository Platforms for Research Data Interest Group
Support of Authors and Publishers: M.3-1 A contact and advisory service is accessible via the website	Capacity building/ incentivisation	data service providers	DINI Certificate for Open Access Publication Services 2019	policy, reuse, access	DINI Working Group "Electronic Publishing"
Support of Authors and Publishers: M.3-2 Authors have the option to upload their documents intended for publication directly to the repository (e.g. via a web form) or to use other ways to add documents to the repository.	Metadata richness/ ingest/ submission	data service providers	DINI Certificate for Open Access Publication Services 2019	contact information, support	DINI Working Group "Electronic Publishing"
Support of Authors and Publishers: M.3-3 Information on the relevant technical questions on electronic publishing is provided or linked to.	Capacity building/ incentivisation	data service providers	DINI Certificate for Open Access Publication Services 2019	data upload, web form	DINI Working Group "Electronic Publishing"
Support Staged Content	Metadata richness/ ingest/ submission, Quality control/ curation	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Technical: A clear EOSC PID policy.	Policy	policy makers	EOSC Interoperability Framework	-	European Commission
Technical: A common security and privacy framework (including Authorisation and Authentication Infrastructure).	Access/ integration	data service providers	EOSC Interoperability Framework	-	European Commission
Technical: Coarse-grained and fine-grained dataset (and other research object) search tools.	Discovery/ indexing/ search	data service providers	EOSC Interoperability Framework	-	European Commission
Technical: Easy access to data sources available in different formats.	Access/ integration	data service providers	EOSC Interoperability Framework	-	European Commission
Technical: Easy-to-understand Service-Level Agreements for all EOSC resource providers.	Sustainability/ funding/ business-model	data service providers	EOSC Interoperability Framework	-	European Commission
Technical: Open Specifications for EOSC Services	Access/ integration	data service providers	EOSC Interoperability Framework	-	European Commission
The repository must be scalable regarding the amount of data	Sustainability/ funding/ business-model	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Preservation and Sustainability	RDA Repository Platforms for Research Data Interest Group
Tight integration with (near) data processing.	Access/ integration	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Location	RDA Repository Platforms for Research Data Interest Group
Use indicators to assess the FAIRness of research data.	Quality control/ curation	data service providers, data stewards	FAIR Data Maturity Model: specifcation and guidelines	metrics, indicators, assessment, FAIR	RDA FAIR Data Maturity Model WG
Version control and revisions	Quality control/ curation	data service providers, data stewards	Principles and best practices in data versioning for all datasets big and small	versioning	RDA Data Versioning WG
Visibility of the Service: M.1-1 The entire range of services must be available online on the www.	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	visibility, availability, online, services	DINI Working Group "Electronic Publishing"
Visibility of the Service: M.1-2 The service’s homepage must be referenced in a central location on the institution’s homepage	Access/ integration	data service providers	DINI Certificate for Open Access Publication Services 2019	visibility, homepage, reference	DINI Working Group "Electronic Publishing"
Visibility of the Service: M.1-3 Open Access publications are clearly marked on the website.	Discovery/ indexing/ search	data service providers	DINI Certificate for Open Access Publication Services 2019	open access, labeling, visibility	DINI Working Group "Electronic Publishing"
Visibility of the Service: R.1-1 The service and, where applicable, its OAI interface are listed with current data in at least one additional registry.	Discovery/ indexing/ search	data service providers	DINI Certificate for Open Access Publication Services 2019	visibility, registration, interfaces, OAI, services	DINI Working Group "Electronic Publishing"
Visibility of the Service: R.1-2 All documents published with the service are available via links.	Interlinking/ interoperability	data service providers	DINI Certificate for Open Access Publication Services 2019	visibility, reference	DINI Working Group "Electronic Publishing"
Visibility of the Service: R.1-3 Links to social media are offered on the landing page of each individual publication.	Capacity building/ incentivisation	data service providers	DINI Certificate for Open Access Publication Services 2019	visibility,social media, landing page	DINI Working Group "Electronic Publishing"
Visibility of the Service: R.1-4 The service supports search engine optimization (SEO).	Discovery/ indexing/ search	data service providers	DINI Certificate for Open Access Publication Services 2019	visibility, SEO, search	DINI Working Group "Electronic Publishing"
Vocabulary Service	Metadata richness/ ingest/ submission, Quality control/ curation	data service providers, data stewards	Matrix of use cases and functional requirements for research data repository platforms	Submission, Ingest, Management	RDA Repository Platforms for Research Data Interest Group
Workflows	Access/ integration	data service providers	Matrix of use cases and functional requirements for research data repository platforms	Preservation and Sustainability	RDA Repository Platforms for Research Data Interest Group