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wiki:basic_recommendations [2025/06/19 11:10] – [Basic FAIR Implementation Recommendations] dkottmeierwiki:basic_recommendations [2025/06/20 07:57] (current) – [Description] dkottmeier
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-[Status: Under development, Date: 2023-08-25, Version: 001]+[Status: Under development, Date: 2025-06-19, Version: 001]
 ==== Motivation for this Recommendation: ==== ==== Motivation for this Recommendation: ====
  
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-Comment DK: I think in this paragraph needs some modifications to put equal weight on all aspects of FAIR. The above version particularly addresses interoperability in its formulation. I also think that there is too much redundancy in the motivation paragraph with the recommendation paragraph, therefore I would here really only focus on the motivation. The suggested measures can come in the paragraph below. I suggest to write the following:+**Comment DK:** //I think in this paragraph needs some modifications to put equal weight on all aspects of FAIR. The above version particularly addresses interoperability in its formulation. I also think that there is too much redundancy in the motivation paragraph with the recommendation paragraph, therefore I would here really only focus on the motivation. The suggested measures can come in the paragraph below. I suggest to write the following://
  
 The Helmholtz Association is committed to making its data available in accordance with the FAIR principles — ensuring that data are Findable, Accessible, Interoperable, and Reusable. This commitment is outlined in the "Recommendations for Policies of the Helmholtz Centers on Research Data Management" [1]. The Helmholtz Association is committed to making its data available in accordance with the FAIR principles — ensuring that data are Findable, Accessible, Interoperable, and Reusable. This commitment is outlined in the "Recommendations for Policies of the Helmholtz Centers on Research Data Management" [1].
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-**Comment/Suggestion DK**: I would suggest to rewrite this paragraph in a way that it sounds more like a recommendation and is less redundant with the motivation paragraph. I therefore merged and extended the bullet sections from both paragraphs. My suggestion is to write the following:+**Comment/Suggestion DK**: //I would suggest to rewrite this paragraph in a way that it sounds more like a recommendation and is less redundant with the motivation paragraph. I therefore merged and extended the bullet sections from both paragraphs. My suggestion is to write the following//:
  
-It is recommended that coordinated efforts across the Helmholtz Association be undertaken to achieve the above-mentioned goals, with the implementation of a common set of FAIR-enabling building blocks. These building blocks are operational measures required to support the findability, accessibility, interoperability, and reusability of research data. They include:+It is recommended that coordinated efforts across the Helmholtz Association be undertaken to achieve the above-mentioned goals, with the implementation of a common set of **FAIR building blocks**. These building blocks are operational measures required to support the findability, accessibility, interoperability, and reusability of research data. They include:
  
-  * Common and agreed procedures to refer to shared entities and metadata values, particularly through the use of persistent identifiers (**PID**s), to reduce redundancy and improve consistency in referencing key entities such as people, organizations, instruments, and datasets (PID?). +  * Common and agreed procedures to refer to shared entities and metadata values, particularly through the use of **metadata of persistent identifiers** (**PID**s), to reduce redundancy and improve consistency in referencing key entities such as people, organizations, instruments, and datasets (**rename to PID**?). 
-  * Harmonized use of **S**emantic Resources, including controlled vocabularies and mapping tables, to standardize metadata element names and their meanings, reduce ambiguity, and ensure consistent interpretation across disciplines and systems (S). +  * Harmonized use of **semantic resources**, including controlled vocabularies and mapping tables, to standardize metadata element names and their meanings, reduce ambiguity, and ensure consistent interpretation across disciplines and systems (**S**). 
-  * Agreements on a core set of Mandatory and Optional **M**etadata elements, covering both domain-independent and domain-specific needs, to support accurate description, discovery, exchange, and reuse of data across infrastructures, user communities, and tools (M?).  +  * Agreements on **mandatory and optional metadata elements**, covering both domain-independent and domain-specific needs, to support accurate description, discovery, exchange, and reuse of data across infrastructures, user communities, and tools (**M**?).  
-  * Common metadata or Exchange **F**ormats, such as DataCite, DCAT, or ISO 19115, to ensure consistent structuring and exchange of metadata across systems (E) +  * Common metadata or **exchange formats**, such as DataCite, DCAT, or ISO 19115, to ensure consistent structuring and exchange of metadata across systems (**E**
-  * Common data Exchange **C**ontainers, such as FAIR Digital Objects or DataCrates, to enable machine-actionable reuse and portability (C). +  * Common data **exchange containers**, such as FAIR Digital Objects or DataCrates, to enable machine-actionable reuse and portability (**C**). 
-  * Common **I**nterfaces, to provide standardized, open mechanisms for data and metadata access and harvesting (I). +  * Common **interfaces**, to provide standardized, open mechanisms for data and metadata access and harvesting (**I**). 
-  * Inclusion of **P**rovenance information, capturing data origin, transformation steps, and responsible agents, to enable assessment of data reliability and reproducibility (P). + 
-  * Clear **L**icense information, using standardized, machine-readable licenses, to define conditions of use and promote legal clarity (L). +**Other important topics** where harmonization procedures are important are:  
-  * Documented procedures for assessing and communicating Data **Q**uality, including uncertainty, validation, completeness, and versioning, to ensure data are fit for purpose (Q). +  * Inclusion of **provenance information**, capturing data origin, transformation steps, and responsible agents, to enable assessment of data reliability and reproducibility (**P**). 
-  * Clear definition of Stakeholder **R**oles and responsibilities, including who is accountable for metadata provision, data stewardship, infrastructure maintenance, and policy implementation (R). +  * Clear **license information**, using standardized, machine-readable licenses, to define conditions of use and promote legal clarity (**L**). 
-  * **Re**cognition and credit for research data management (RDM) engagement, through citation of datasets with DOIs, inclusion of author contributions, and formal acknowledgment of data curation efforts (Re).+  * Documented procedures for assessing and communicating **data quality**, including uncertainty, validation, completeness, and versioning, to ensure data are fit for purpose (**Q**). 
 +  * Clear definition of **stakeholder roles** and responsibilities, including who is accountable for metadata provision, data stewardship, infrastructure maintenance, and policy implementation (**R**). 
 +  * **Valuating research data management** (RDM) engagement, through citation of datasets with DOIs, inclusion of author contributions, and formal acknowledgment of data curation efforts (**V**).
  
 These elements form the structural foundation for the detailed recommendations presented in this wiki. These elements form the structural foundation for the detailed recommendations presented in this wiki.
wiki/basic_recommendations.1750331450.txt.gz · Last modified: by dkottmeier