Skip to footer
Fostering collaboration, sharing resources, and connecting stakeholders

One of the aims of the LEARNFAIR project is to establish a community of FAIR trainers from research performing and supporting organizations to foster collaboration, share resources, and connect stakeholders in the health & life sciences. We organise quarterly in-person meetings to get to know each other, to learn from best practices and to collaboratively work on FAIR Open Educational Resources (OERs). The community is open to everyone who is involved in training on how to make data FAIR, and wants to join forces, align efforts and collaboratively develop resources.

Upcoming community events

  • FAIR Trainer Community Meeting

     · 13:00 - 17:00

    Amsterdam UMC, location AMC, Amsterdam

    On 10 March 2026, LEARNFAIR organises a second FAIR trainer community meeting. Are you in any way involved in designing, delivering or enabling training in making research data FAIR, then join our community meeting. This will be an opportunity to meet your peers, present your best practices, FAIRify your training materials, work collaboratively on Open Educational Resources for FAIR and above all, find buddies!

    More information


  • FAIR Lesson Plan Handbook Contentathon #1

     · 10:00 - 14:00

    Online

    An online session to polish and kickstart certain sections of the community-led FAIR Lesson Plan Handbook. This session focuses on the topics FAIR software, Findable Data, and Interoperable Data.

    More information

  • FAIR Lesson Plan Handbook Contentathon #2

     · 10:00 - 14:00

    Online

    An online session to polish and kickstart certain sections of the community-led FAIR Lesson Plan Handbook. This session focuses on the topics Data Repositories, Accessible Data, and FAIR Generics.

    More information

  • FAIR Lesson Plan Handbook Contentathon #3

     · 14:00 - 16:30

    Online

    An online session to polish and kickstart certain sections of the community-led FAIR Lesson Plan Handbook. This session focuses on the topics Findable Data, FAIR generics, and Interoperable Data.

    More information


Past community events