Are you working with data in the Life Sciences? Do you feel overwhelmed when you think about Research Data Management?
The ELIXIR Research Data Management Kit (RDMkit) is an online guide containing good data management practices applicable to research projects from the beginning to the end. Developed and managed by people who work every day with life science data, the RDMkit has guidelines, information, and pointers to help you with problems throughout the data’s life cycle. RDMkit supports FAIR data — Findable, Accessible, Interoperable and Reusable — by-design, from the first steps of data management planning to the final steps of depositing data in public archives.
The RDMkit organises information into the six sections displayed below, which are interconnected but can be browsed independently.
Data life cycle
Start here to get an overview of research data management. Click on a section of the diagram below to get an introduction to that stage of the data management life cycle.
Find guidelines and solutions for tackling common data management problems.
All tools and resources
Browse the RDMkit's catalogue of tools and resources for research data management.
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! Sign up here.
RDMkit Focus session: Machine-Readable Metadata
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.
We welcome contributors!
RDMkit in numbers
The force behind RDMkit
Tools & resources
Explained in the context of real world problems
Helping you with data management