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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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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?] |
[Sander] From HANDS:
Clinical researchers that are working at UMCs are obliged to complete the ‘Basiscursus Regelgeving en Organisatie voor Klinisch onderzoekers (BROK®)’. After four years, a re-registration course should be followed. Every UMC organises a centre-specific BROK for employees that perform clinical research. This centre-specific BROK offers information about data management as well as information about local policies, facilities and expertise. Many universities and UMCs organise additional datastewrdship training and/or data management courses that are not obligated, but highly recommended. HANDS’ toolbox can help you find such courses.
Expertise requirements for this step
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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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Relevant training will be added in the future if available.
Suggestions
Visit our How to contribute page for information on how to get in touch if you have any suggestions about this page.
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