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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.

National resources

Browse trough the national resource pages

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! Highlight your data management tools assembly in the RDMkit!

  • 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.

Whats new?

  • New page: National resources Italy

    - 931

    This page gives an insight in RDM on national level in Italy. Discover the page here

  • New page: Data brokering

    - 892

    A “your task” page about Data brokering that provides information on how to upload data to repositories on behalf of data producers. Discover the page here.

  • New page: National resources Estonia

    - 846

    This page gives an insight in RDM on national level in Estonia. Discover the page here.

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