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.
A new “domain” page for machine learning was added. Discover the page here.
ELIXIR Recommended Interoperability Resources (RIR) are European tools and registries that help make scientific research findable, accessible, interoperable and reusable (FAIR). ELIXIR News.
A new “tool assembly” page for FAIRtracks was added. 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 firstname.lastname@example.org.
Monasterium, Ghent, Belgium + virtual
As a community, we want to make sure that the RDMkit content is regularly revised, improved, and further developed for better learning of what data management entails and how it works. With that, we would like to invite current and future contributors to join us at RDMkit contentathon!
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Explained in the context of real world problems
Helping you with data management