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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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[Fieke] Places to look for training events:
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)
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General introduction into FAIR:
https://howtofair.dk
[Sander] Towards FAIR Data Steward as profession for the Lifesciences (co-written by Mijke, 2019):
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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.
Furthermore, the institution organises through the RTC department quarterly training FAIR RDM sessions where researchers can learn how to complement their Data management plans by introducing the FAIR principles.
Training
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If your role is to train your team members, there are resources to help you:
FAIR lesson plans FAIR lesson plans (in development)
General train-the-trainer materials:
Training materials can themselves be FAIR. See for guidance:
https://elixir-europe-training.github.io/ELIXIR-TrP-FAIR-training-handbook/
Ten simple rules for making training materials FAIR, Castro, Leyla et al (2020) PLOS Computational Biology. 16. e1007854. 10.1371/journal.pcbi.1007854.
https://doi.org/10.5281/zenodo.7296920 Hernández Serrano, P. V., & Vivas Romero, M. (2022, november 1), Zenodo
Suggestions
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