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--- wiki:basic_recommendations [2025/06/19 12:16] – [Basic FAIR Implementation Recommendations] dkottmeier
+++ wiki:basic_recommendations [2025/08/05 10:39] (current) – esoeding
@@ Line 1: / Line 1: @@
-**Basic Goals and Principles **
+** FAIR BUILDING BLOCKS ** for the Helmholtz Association
-===== Basic recommendations and assumptions to develop and activate a FAIR Dataspace for the Helmholtz Association =====
+[Status: Under development, Date: 2025-07-16, Version: 001]
-==== Description ====
+==== Definition ====
+It is recommended that coordinated efforts across the Helmholtz Association be undertaken to achieve the goals, as defined in the HMC vision and mission. This is done by the **Road-toFAIR-Strategy**, which calls for 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:
-[Status: Under development, Date: 2023-08-25, Version: 001]
+  * Common and agreed procedures to refer to shared entities and metadata values, particularly through the use of **metadata of persistent identifiers** (PID), to reduce redundancy and improve consistency in referencing key entities such as people, organizations, instruments, and datasets (**K**) //(AP: suggestion for key)//.
-==== Motivation for this Recommendation: ====
+  * 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**). //[I would still recommend to merge semantics with mandatory and optional metadata elements, because these are closely related. Mingeling woth semantics only makes sense with very important information, which should be defined beforehand and applied accordingly.]//
-The Helmholtz Association is determined to make their data available according to the FAIR principles, thus making it findable, accessible, interoperable and reusable. This is expressed in the "Recommendations for Policies of the Helmholtz Centers on Research Data Management" [1].
-In order to achieve interoperability of datasets among various data infrastructures (DIS) within the Helmholtz Association,
-  * a common and agreed procedure to refer to common information is needed
-  * common semantic concepts need to be implemented
-  * common data exchange containers and formats need to be defined and implemented
-  * common interfaces and data exchange protocols need to be agreed upon
-These following recommendations aim to describe procedures to achieve the above-mentioned goals, and identify activities and the relevant stakeholder groups to implement these. This implies that the identified stakeholders assume certain responsibilities in order to make these recommendations work.
-As these goals require certain decisions to be made, we describe the decision processes from high-level to lower levels, resulting in agreed procedures. We then describe the conduct of these procedures with respect to the involved stakeholder groups, their responsibilities and the actions to be taken.
-The activities may be prioritized for implementation in a specific order or for a particular stakeholder group, either because they are simple to set up, or because they are prerequisites for other recommended activities. These decisions have to be made on a case by case basis, in order to move forward establishing the envisioned data space.
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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://
-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].
-To achieve FAIR data across the various data infrastructures (DIS) within the Helmholtz Association, a number of coordinated efforts are required. The following recommendations aim to describe procedures to achieve the above-mentioned goals, and identify activities and the relevant stakeholder groups to implement these. This implies that the identified stakeholders will take on specific responsibilities to ensure the success of the FAIR-aligned approach.
-Since achieving these goals requires deliberate decision-making, the document outlines decision processes from high-level strategy to operational detail, resulting in agreed procedures. It further describes how these procedures are to be implemented, specifying the roles, responsibilities, and actions required of each stakeholder group.
-Activities may be prioritized for implementation based on factors such as ease of deployment or their role as prerequisites for other efforts. These decisions should be made case by case to effectively progress toward the envisioned Helmholtz data space.
-==== Basic FAIR Implementation Recommendations ====
-Implement the **FAIR building blocks**:
-  * Common use of **PID metadata** to harmonize common metadata (M)
-  * Common use of **standardized interfaces** in repositories and data products to harvest and exchange data (I)
-  * Common use of **semantic resources** (S), e.g. vocabularies, ontologies
-  * Use of **data containers**, e.g. FDOs or data crates, to achieve machine actionability (C)
-**Other important topics** where harmonize procedures are important are:
-  * Well defined **licenses** (L)
-  * **Quality** assessment and control (Q)
-  * **Provenance** tracking (P)
-  * Stakeholder **roles and responsibilities** (R)
-  * **Valuing RDM engagement** (V) by treating published data similar to other publications including DOIs and author references, citable, with licenses and credits to the authors. This includes accountability for publishing credit systems and others. Data citations improve the data set author’s score.
-A very important precondition for the implementation of these recommendations is the **presence of skilled and highly trained data management personnel**, such as data stewards, data curators, and developers for data management and processing tools.
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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//:
-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 **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 **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 **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 formats**, 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**) //[I still recommend to merge fromats witrh interfaces as the topic interface. This should indeed cover formats and protocols, that we need agreements about]//
   * Common data **exchange containers**, such as FAIR Digital Objects or DataCrates, to enable machine-actionable reuse and portability (**C**).
   * Common **interfaces**, to provide standardized, open mechanisms for data and metadata access and harvesting (**I**).
+//[In general I dont want more than four building blocks, because otherwise it will be too many to easily remember. The blocks need to be very easy to grasp, so people have trhenm in their mind all the time. That's actually one of the strenghts of FAIR.]//
 **Other important topics** where harmonization procedures are important are:
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 A key precondition for the implementation of these recommendations is the availability of skilled personnel, such as data stewards, data curators, and developers, who support data management and the technical and semantic infrastructure required to implement FAIR.
-==== References ====
-[1] Empfehlungen für Richtlinien der Helmholtz-Zentren zum Umgang mit Forschungsdaten, 2019, Helmholtz Open Science, https://os.helmholtz.de/open-research-data/forschungsdaten-policies/