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Check the page dedicated for Training FAIR Training and Capacity building
[Meriem] When getting training on FAIRification of data, it is important to first identify your specific role or roles within the research project. This will help you to focus on the training that is most relevant to your needs.
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Appendix 5 - 7 contain information about Data steward workshops and training. Probably outdated, but perhaps useful?
[Hannah] From 2022 publication FAIR assessment tools: evaluating use and performance:
Provided by DANS, this online survey gives a FAIRness score. Furthermore, it provides advice on how to improve the FAIRness of your (meta)data. [Hannah; according to the review paper, this tool ‘assesses the user's understanding of the FAIR principles rather than the FAIRness of his/her dataset. FAIR-aware is not further considered in this paper’. Maybe throw it out as well?] |
Practical Examples from the Community
[Inês and Milou] Researchers from RadboudUMC have mandatory induction days where they are presented with a variety of services available to them. During one of these presentations researchers are introduced to the application of the Findability and Acessibility principles into their studies.
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