LEARNFAIR: FAIR trainers community & open educational resources
Abstract
Presentation on the LEARNFAIR project for the Data Stewards Interest Group, 29 September 2025. LEARNFAIR is a TDCC LSH project funded by NWO. LEARNFAIR (Life Science & Health Educational Alignment for Research and Networking in FAIR Data Management) is a two-year national project that strengthens FAIR data skills in the Life Sciences & Health (LSH) domain. It aims at establishing a community of FAIR trainers from research performing and supporting organizations and develop a community-adopted set of open educational resources on FAIR Data Stewardship. We presented the project to the Data Stewards Interest Group, the survey that has been set out and ask the audience for input to set up the community.
Full text
LEARNFAIR is funded by the NWO - TDCC LSH 2023 call aimed at strengthening digital competences in the data-driven life sciences and health domain. LEARNFAIR: FAIR trainers community & open educational resources Data Stewards Interest Group Monday September 29, 2025 Maria Vivas-Romero & Fieke Schoots
Agenda •Introducing LEARNFAIR •Example of the FAIR Lesson Plan •LEARNFAIR survey •Help shape the FAIR trainers community
Introducing LEARNFAIR
Background 2021 FAIRsFAIR teaching and training handbook 2022 & 2023 ELIXIR-CONVERGE Lesson plan Hackathons 2022 FAIR Data Day (NL) workshop on OERs 2023 ELIXIR All Hands Meeting workshop on OERs 2023 & 2024 ELIXIR Biohackathon to polish & review content 2023 Meeting of trainers in FAIR: can we do this more structured & sustainable?
Responsible institution(s) and department(s): Public Summary: . Title: Project lead: Duration: Key words: LEARN-FAIR: Life Science & Health Educational Alignment for Research and Networking in FAIR Data Management FAIR Data Stewardship, Community Building, Open Educational Resources Dr. M.G. (Martijn) Kersloot 24 months: April 2025 –April 2027 ●Amsterdam UMC (AUMC), Medical Informatics ●Health-RI ●Leiden University Medical Centre (LUMC), Department of Human Genetics ●Maastricht University (UM), DataHub ●Radboud UMC (RUMC), Department of Medical BioSciences The LEARN-FAIR project intends to foster cooperation and knowledge exchange among FAIR (Findable, Accessible, Interoperable, and Reusable data) trainers by establishing a Dutch FAIR Trainers Community. Additionally, the project focuses on identifying training needs for researchers and data stewards, as well as existing educational materials, in order to develop new Open Educational Resources. To ensure that these materials meet the (future) needs of the community, the LEARN-FAIR project combines empirical research with active community engagement. Project Status: Project Status: TDCC-LSH project reference ID: TDCC-LSH Challenge project #7 Project Status: Approved by TDCC-LSH Programme board & NWO https://learn-fair.nl *LEARNFAIR is funded by the NWO - TDCC LSH 2023 call aimed at strengthening digital competences in the data-driven life sciences and health domain.
Life Science & Health Educational Alignment for Research and Networking in FAIR Data Management Kick-off meeting 14 April 2025 Aims Establish a community-adopted set of open educational resources in FAIR Data Stewardship Establish a community of FAIR trainers from research performing and supporting organizations 2 pillars: empirical research and active community engagement https://learn-fair.nl/ Lead: Martijn Kersloot (AUMC)
Life Science & Health Educational Alignment for Research and Networking in FAIR Data Management
WP5 Overall Goal: The primary goal of this WP is to enhance and complete the 'FAIR Lesson Plan Handbook' by: ●Refining existing FAIR lesson plans based on feedback from trainers and trainees. ●Develop new educational resources and learning paths informed by a needs and gap analysis (D4.2/D4.3) for specific target audiences. ●Establishing partnerships and intellectual agreements for used content. ●Ensuring all developed materials are Findable, Accessible, Interoperable, and Reusable (FAIR) and sustainable beyond the project's duration, ultimately aiming to improve data management skills and promote the adoption of FAIR principles within the LSH domain.
FAIR Lesson Plan HandBook: a Community Built tool
The Aim and Timeline Aim: To collect information about training materials that cover aspects related to the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. To identify institutions and groups involved in developing or reusing such materials. Timeline: Draft and Analysis May – August 2025 Distribution September 2025MidNovember 2025 Results and Analysis January 2025May 2025
Structure •Part I (This Survey): This first part focuses on identifying current gaps in training on FAIR. It should take about 5-7 minutes to complete. •Part II (Follow-up Survey): For respondents who have created or used training materials, we will send a link to a second survey. This part focuses on cataloging specific resources. We estimate it takes 5-10 minutes to describe each training resources •Part III: ConversationsInterviews
The Survey •Take our short survey here: https://learn-fair.nl/survey
The survey outcomes •Survey status: Launched September 19th •Participation: 18 responses/13 with a willingness to participate further and or fill out Survey II •Respondents' demographics: Netherlands, E.U and outside E.U •Closing day: November 30th 2025
Your turn: help shape the FAIR trainers community