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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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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 its employees. This centre-specific BROK offers information on data management and local policies, facilities, and expertise.
Many universities and UMCs organise specialised data management courses. See resources at your UMC above.
You can visit the European training portal TeSS for international courses and training materials in the field of life sciences data (ELIXIR).
More and more training programmes for project data stewards are becoming available. At the national level, the Netherlands Bioinformatics and Systems Biology research school (BioSB) and the Dutch Techcentre for Life Science (DTL) organise data management-related workshops and courses, such as Data Carpentry workshops, the bi-annual course on Managing and Integrating life science information, and Bring Your Own Data workshops (BYODs). They also provide links to internationally organised training, for instance within the framework of the ELIXIR Training Platform.
The DTL Course Directory includes Dutch courses, trainings, and workshops in the field of data and technologies for the life sciences. DTL also offers an extensive overview of online trainings.
Essentials 4 Data Support (organised by Research Data Netherlands) is an introductory course for those that wish to support researchers in storing, managing, archiving and sharing their research data.
Datacarpentry develops and teaches workshops on the fundamental data skills needed to conduct research.
Netherlands Bioinformatics and Systems Biology research school (BioSB)
Expert Tour Guide on Data Management by CESSDA ERIC (the Consortium of European Social Science Data Archives European Infrastructure Consortium) aims to put social scientists at the heart of making their research data findable, understandable, sustainably accessible and reusable.
The Coursera MOOC 'Research Data Management and Sharing' by the University of North Carolina at Chapel Hill and The University of Edinburgh (MANTRA course content incorporated) provides learners with an introduction to research data management and sharing.
[Mijke, from the Have a FAIR data steward page]
Since data stewardship is a relatively new job profile and the field of data management and FAIR data practices are constantly evolving, a FAIR data steward will benefit from continuous learning and staying updated on emerging trends, tools, and standards. This will help the FAIR data steward to keep developing the necessary skills and expertise.
This may include training in data management best practices, data curation techniques, metadata standards, and relevant tools and technologies. RDMKit provides an overview of data management best practices and guidelines.
They should also be adaptable and able to tailor FAIR data solutions to meet the specific needs and constraints of your project.
The NPOS report on professionalising data stewardship in the Netherlands contains a list of training opportunities and materials (p. 148 - 162). Organisations that deliver data stewardship training in the Netherlands include:
Research Data Netherlands Essentials 4 Data Support. Training for a basic understanding of data management and data steward tasks (domain agnostic). Materials are publicly available.
LCRDM DCC Spring training days. Most materials freely available afterwards.
Training events and training materials on data management and FAIR can be found through Taxila or Tess. Additionally, the RDMkit training resources might be helpful.
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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