status: Recognised & Endorsed
Chair (s): Edit Herczog, Keith Russell, Shelley Stall, Sarah Jones
Group Email: [group_email]
Secretariat Liaison: Stefanie Kethers
FAIR Data Maturity Model: core criteria to assess the implementation level of the FAIR data principles
Webinar - The RDA FAIR Data Maturity Model WG: Aligning International Initiatives for Promoting and Assessing FAIR Data - 19/11/2020
Webinar - Connecting Data, Institutions and People: FAIR Digital Objects, RDA outputs and the design of the DiSSCo Research Infrastructure - 18 March 2021
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.
FAIR Data Maturity Model WG Case Statement
by Lynn Yarmey
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