Skip to content Skip to footer

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.

Share Reuse Preserve Analyse Process Plan Collect

Your role

Identify your role in research data management, find data management resources relevant for you, and information to help you progress in your career path.

Your domain

Learn about the data management problems that affect your domain or research community, and the solutions adopted to address them.

Tool assembly

Find concrete combinations of tools and resources assembled into a workflow for research data management.

All tools and resources

Browse the RDMkit's catalogue of tools and resources for research data management.

All training resources

Browse the RDMkit's catalogue of training resources for research data management.

Upcoming events

  • Contentathon



    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.

  • BioHackathon Europe



    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

An overview of all our events can be fount on the events page.


  • RDMkit nominated for NFDI4Ing Community Award

    RDMkit was nominated for the NFDI4Ing Community Award beside other tools at the German NFDI4Ing conference.

  • TALKS: RDM Toolkit talks comprise a series of monthly webinars given by collaborators and guest experts. The webinar on 2nd November 2021 aims to provide an introduction on the use and features of RDMkit. More information about the event

For more news please visit our news page.

We welcome contributors!

This project would not be possible without the many amazing community contributors. RDMkit is an open community project, and you are welcome to join us!

RDMkit in numbers


The force behind RDMkit


Tools & resources
Explained in the context of real world problems


Helping you with data management