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The FAIR Data Maturity Model in practice: learning from adoption

  • Creator
  • #133860

    Shelley Stall

    Welcome and brief introduction to the RDA FDMM working group and its achievements (10 mins)  Keith Russell

    Perspectives on adoption and implementation of the FAIR Data Maturity Model in the EU and in the US (30 min)

    Community-driven governance of FAIRness assessment (Mark Wilkinson, co-chair) TBC (10 mins)

    A case study on providing FAIR and metrologically traceable data sets
    Tanja Dorst, Maximilian Gruber, Anupam P. Vedurmudi, Daniel Hutzschenreuter, Sascha Eichstädt, Andreas Schütze, March 2023 – TBC (10 min)

     Assessment of the FAIRness of the Virtual Atomic and Molecular Data Centre following the Research Data Alliance evaluation framework Zwölf, C.M., Moreau, N. (2023) – TBC (10 min)

    Interactive session on awareness and adoption of the FAIR Data Maturity Model and supporting governance (15mins)

    Discussion on lessons learned from adoption and implementation of the FAIR Data Maturity Model (30 mins)

    How we can better monitor the progress

    Conclusions and wrap up (5 mins)

    Additional links to informative material

    Group page: 

    Some adoption stories of the FAIR Data Maturity Model:

    The FAIR Data Maturity Model: 

    Applicable Pathways
    The FAIR Agenda, FAIR, CARE, TRUST – Principles

    Avoid conflict with the following group (1)
    ESIP/RDA Earth, Space, and Environmental Sciences IG

    Brief introduction describing the activities and scope of the group
    The RDA FAIR Data Maturity Working Group was established at the end of 2018 with the objective to bring 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. The Working Group completed 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 group has over 250 members representing a wide range of disciplines and regions around the world. The Working Group is now in maintenance mode investigating the implications of the model and FAIR assessment.

    Group chair serving as contact person
    Shelley Stall

    I Understand a Chair Must be Present at the Event to Hold the Breakout Session

    Meeting objectives
    The RDA FAIR Data Maturity Model (FDMM) Specification and Guidelines were published in June 2020 after extensive consultation with the sector. They provide a set of community agreed indicators and priority levels to assess the FAIRness of a data set. Since 2020 the model has been taken up and considered by a range of initiatives around the globe. The aim of this session is to learn from these adoptions and FAIR assessment more broadly and to share what can be learned from these experiences.

    Please indicate at least (3) three breakout slots that would suit your meeting.
    Breakout 2, Breakout 5, Breakout 8

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