| Status | ||||
|---|---|---|---|---|
|
...
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.
...
First: check within your organisation what training is available. Many institutions provide training on data management planning and FAIR for their researchers.
Taxila: Dutch portal that lists upcoming training events and materials
Tess portal: training portal for the life sciences maintained by Elixir
Health-RI website (in development)
For recommend materials and general introduction into FAIR, see our general training page https://health-ri.atlassian.net/wiki/x/ewBXAg
Competencies frameworks
a. Competencies for data stewards developed by NPOS / Elixir: https://competency.ebi.ac.uk/framework/datasteward/1.0
b. https://doi.org/10.4126/FRL01-006441348 ]
c. Petersen, Britta, Claudia Engelhardt, Tanja Hörner, Juliane Jacob, Tatiana Kvetnaya, Andreas Mühlichen, Hermann Schranzhofer, et al. ‘Lernzielmatrix zum Themenbereich Forschungsdatenmanagement (FDM) für die Zielgruppen Studierende, PhDs und Data Stewards’. Zenodo, 14 June 2023. https://doi.org/10.5281/zenodo.8010617
d. Skills4EOSC
[Sander] Towards FAIR Data Steward as profession for the Lifesciences (co-written by Mijke, 2019):
...
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.
...