Open Educational Resources on FAIR Data: Preliminary Results from a Systematic Review

The FAIR (Findable, Accessible, Interoperable, Reusable) principles are increasingly important for research data management (RDM). Implementing the principles effectively requires appropriate training, yet little is known about available educational resources that trainers can (re)use. This review systematically identified open educational resources (OERs) on FAIR data stewardship reported in scientific literature. Four databases (MEDLINE, Web of Science, ACM Digital Library, IEEE Xplore) were searched, and all records were independently assessed by two researchers. Data on resource type, target audience, delivery method, discipline, accessibility, and availability were extracted, resulting in 15 included articles published after the FAIR principles were introduced. The identified OERs comprised training platforms and registries, handbooks and toolkits, curricula, and guidelines. Most were openly accessible, delivered online, multidisciplinary in scope, and primarily targeted at trainers and educators. Expanding disciplinary reach, embedding FAIR in education, and making existing OERs easier to find and reuse will help scale up FAIR training and improve its quality.