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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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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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FAIR lesson plans FAIR lesson plans (in development)
General train-the-trainer materials:
EOSC synergy learn platform https://learn.eosc-synergy.eu/get-started/
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
Filiposka, S., Green, D., Mishev, A., Kjorveziroski, V., Corleto, A., Napolitano, E., Paolini, G., Di Giorgio, S., Janik, J., Schirru, L., Gingold, A., Hadrossek, C., Souyioultzoglou, I., Leister, C., Pavone, G., Sharma, S., Mendez Rodriguez, E. M., & Lazzeri, E. (2023). D2.2 Methodology for FAIR-by-Design Training Materials (1.4). Zenodo. https://doi.org/10.5281/zenodo.8305540
Suggestions
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