Best practices and guidelines to help you make your data FAIR (Findable, Accessible, Interoperable and Reusable)
Start here to get an overview of research data management based on stages in the data life cycle.
Identify your role in research data management, find data management resources relevant for you, and information to help you progress in your career path.
Learn about data management tasks that affect your domain or research community, and the solutions adopted to address them.
Find concrete combinations of tools and resources assembled into an ecosystem for research data management.
Find pointers to country specific information resources and national research data management practices.
Browse the RDMkit's catalogue of tools and resources for research data management.
This page gives an insight in RDM on national level in Switzerland. Discover the page here
This page gives insights about how to record information about data provenance. Discover the page here.
This page gives an insight in RDM on national level in Czech Republic. Discover the page here
We would like to invite you to highlight your set of data management tools as a tool assembly in the RDMkit and describe how to use it, so others can do the same (two half days). Sign up here.
Highlight your data management tool assembly in the RDMkit! Highlight your data management tools assembly in the RDMkit!
Do you have experience in generating machine-readable metadata during life sciences research projects? If yes, join this focus group! Help to describe best practices on machine-readable metadata in a your task page. We are bundling our expertise on this topic in a joint discussion and writing session. For more information, please contact the email@example.com.
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Explained in the context of real world problems
Helping you with data management