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Open Educational Resources on FAIR Data: Preliminary Results from a Systematic Review
Myrthe I van Heerde1,2, César H Bernabé3, Ronald Cornet1,2
1Amsterdam UMC - University of Amsterdam, Medical Informatics, Amsterdam, The Netherlands.
Studies in Health Technology and Informatics
|May 23, 2026
Summary
This study reviewed open educational resources (OERs) for training in FAIR (Findable, Accessible, Interoperable, Reusable) data stewardship. It found various resources exist, but discoverability and reuse need improvement for effective research data management training.
Area of Science:
- Data Science
- Information Science
- Scientific Publishing
Background:
- The FAIR principles are crucial for effective research data management (RDM).
- Implementing FAIR principles necessitates adequate training for researchers and data stewards.
- A knowledge gap exists regarding the availability and accessibility of educational resources for FAIR data stewardship training.
Purpose of the Study:
- To systematically identify and review open educational resources (OERs) for FAIR data stewardship training.
- To analyze the characteristics of identified OERs, including type, audience, delivery, and scope.
- To inform strategies for improving the availability and usability of FAIR training resources.
Main Methods:
- Systematic literature review across four major scientific databases (MEDLINE, Web of Science, ACM Digital Library, IEEE Xplore).
- Independent assessment of search records by two researchers.
- Data extraction on resource type, target audience, delivery method, discipline, accessibility, and availability.
Main Results:
- Fifteen articles reporting OERs for FAIR data stewardship were identified.
- The identified OERs included training platforms, registries, handbooks, toolkits, curricula, and guidelines.
- Most resources were openly accessible, online, multidisciplinary, and targeted at trainers/educators.
Conclusions:
- A range of OERs for FAIR data stewardship training is available.
- Enhancing disciplinary coverage and discoverability of OERs is essential.
- Integrating FAIR training into educational curricula and promoting reuse will improve training quality and scale.
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