status: Recognised & Endorsed

Chair (s): Edit Herczog, Keith Russell, Shelley Stall

Group Email: [group_email]

Secretariat Liaison: Stefanie Kethers


FAIR Data Maturity Model: core criteria to assess the implementation level of the FAIR data principles

The RDA FAIR Data Maturity Model Working Group develops as an RDA Recommendation a common set of core assessment criteria for FAIRness and a generic and expandable self-assessment model for measuring the maturity level of a dataset. The aim is not to develop yet another FAIR assessment approach but to build on existing initiatives, looking at common elements and allowing the group to identify core elements for the evaluation of FAIRness. That will increase the coherence and interoperability of existing or emerging FAIR assessment frameworks and it will ensure the combination and compatibility of their results in a meaningful way.

 

The WG brings together stakeholders from different scientific and research disciplines, the industry and public sector, who are active and/or interested in the FAIR data principles and in particular in assessment criteria and methodologies for evaluating their real-life uptake and implementation level.

 

Outputs

10
April
2020

FAIR Data Maturity Model: specification and guidelines

by Marieke Willems

Findability, Accessibility, Interoperability and Reusability – the FAIR principles – intend to define a minimal set of related but independent and separable guiding principles and practices that enable both machines and humans to find, access, interoperate and re-use research data and metadata. The FAIR principles have to be considered as inspiring concepts but not strict rules. Unfortunately, they often lead to diverse interpretations and ambiguity.


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23
May
2019

Results of an Analysis of Existing FAIR Assessment Tools

by Stefanie Kethers

This document is a first output of the FAIR Data Maturity Model WG. This resulted in five slide decks, combined in this pdf document, that make up this preliminary analysis.

The document was updated after the community review period, and the current version v3 is attached to this page. The previous version v0.02, which underwent the community review, is also available.


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