13 FEB 2024
Group(s) submitting the application:
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.
Meeting agenda:
- 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)
Target Audience:
Researchers, data service owners, funders and infrastructures 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.
We are interested to meet the newcomers and those who are starting their FAIR journey, but also those that are implementing methods around the globe.
Group chair serving as contact person:
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.
Short Group Status:
- Recognised and endorsed, in maintenance mode
Type of Meeting:
Working meeting
Additional links to informative material:
- Group page: https://www.rd-alliance.org/groups/fair-data-maturity-model-wg
- Some adoption stories of the FAIR Data Maturity Model: https://www.rd-alliance.org/group/fair-data-maturity-model-wg/wiki/adoption-stories-fdmm
- The FAIR Data Maturity Model: https://zenodo.org/record/3909563#.YhhMw-hBy71
Avoid conflict with the following group (1):
Avoid conflict with the following group (2):
Meeting presenters:
Shelley Stall, Keith Russell, Edit Herzog, Mark Wilkinson, Susanna-Assunta Sansone, Eva Méndez
Are you willing to host a second, repeat, session at a different time zone?:
No