Published June 20, 2022 | Version 01_00
Presentation Open

Trust Standards, Support and FAIR Enabling Trustworthy Repositories

  • 1. UK Data Service
  • 2. GESIS - Leibniz Institute for the Social Sciences
  • 3. DANS
  • 4. Universität Bremen


This upload is comprised of the four sets of slides presented at Panel 7 of the IASSIST22 conference.   The panel consisted of four presentations followed by a Q&A on the theme of standards and associated mutual support around data management and archiving.   Existing and future approaches to providing support and the emerging expectations for FAIR data that impact FAIRenabling Trustworthy Repositories were covered.  

Presentation 1 (Jonas Recker) provided information on the CESSDA approach to Trust Support and its influence on other ongoing repository support programmes.  Presentation 2 (Benjamin Mathers) provided an overview of current and future collaborations, including the alignment of FAIR enabling repositories with evaluations of FAIR digital objects. Two approaches to FAIR object assessment and knowledge exchange were then presented, with Presentation 3 (Maaike Verburg) covering FAIR data awareness and guidance and Presentation 4 (Robert Huber) providing an overview of the web-based F-UJI tool designed for testing the FAIRness of data at the data set level.  

Moderator: Hervé L’Hours, UK Data Service

Presentation 1: Trust Support: CESSDA Approach 2021-22, overview of support approaches and influence on other support work (FAIRsFAIR, SSHOC, EOSC Nordic). Jonas Recker, GESIS - Leibniz Institute for the Social Sciences

Presentation 2: Trust Support and collaboration, future networks, disciplinary curation and preservation expertise including CoreTrustSeal and FAIR. Benjamin Mathers, UK Data Service

Presentation 3: Trust and FAIR Digital Objects: FAIR Aware guidance and awareness tools for FAIR Data. Maaike Verburg, DANS

Presentation 4: Trust and FAIR Digital Objects: F-UJI Tool for testing FAIR against the RDA FAIR Maturity Indicator based FAIRsFAIR Data Object Assessment Metrics. Robert Huber, Universität Bremen


FAIRsFAIR "Fostering FAIR Data Practices In Europe" has received funding from the European Union's Horizon 2020 project call H2020-INFRAEOSC-2018-2020 Grant agreement 831558. The FAIR-IMPACT project has been funded by the European Union.



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FAIRsFAIR – Fostering FAIR Data Practices in Europe 831558
European Commission