RDMkit: A research data management toolkit for life sciences
The rise of data-driven scientific investigations has made research data management (RDM) essential for good scientific practice. Implementing RDM is a complex challenge for research communities, infrastructures, and host organizations. Generic RDM guidelines often do not address practical questions, and disciplinary best practices can be overwhelming without proper context. Once guidelines are established, expanding their reach and keeping them up to date is challenging. The RDMkit is an open community-led resource designed as a gateway to reach the wealth of RDM knowledge, tools, training, and resources in life sciences. The RDMkit provides best-practice guidelines on common RDM tasks expected of data stewards and researchers, specific data management challenges and solutions from life science domains, and tool assemblies showcasing holistic solutions to support the research data life cycle. Built on a reusable open infrastructure, the RDMkit allows organizations to create their own guidelines using it as a blueprint.
Authors
- Mijke Jetten (ORCID: https://orcid.org/0000-0001-9114-2896)
- Rafael Andrade Buono (ORCID: https://orcid.org/0000-0002-6675-3836)
- Ishwar Chandramouliswaran (ORCID: https://orcid.org/0000-0001-9697-9599)
- Laura Portell-Silva
- Ulrike Wittig (ORCID: https://orcid.org/0000-0002-9077-5664)
- Korbinian Bösl
- Carole Goble (ORCID: https://orcid.org/0000-0003-1219-2137)
- Bert Droesbeke (ORCID: https://orcid.org/0000-0003-0522-5674)
- Martin L. Cook (ORCID: https://orcid.org/0000-0002-9793-5958)
- Rob Hooft (ORCID: https://orcid.org/0000-0001-6825-9439)
- Frederik Coppens (ORCID: https://orcid.org/0000-0001-6565-5145)
- Flora D’Anna (ORCID: https://orcid.org/0000-0003-4665-6673)
- Marek Suchánek (ORCID: https://orcid.org/0000-0001-7525-9218)
- Jan Slifka (ORCID: https://orcid.org/0000-0002-4941-0575)
- Munazah Andrabi (ORCID: https://orcid.org/0000-0002-7718-5109)
- Pinar Alper (ORCID: https://orcid.org/0000-0002-2224-0780)
- Marina Popleteeva (ORCID: https://orcid.org/0000-0002-8409-6147)
- Celia van Gelder (ORCID: https://orcid.org/0000-0002-0223-2329)
- Nazeefa Fatima (ORCID: https://orcid.org/0000-0001-7791-4984)
- Daniel Faria (ORCID: https://orcid.org/0000-0003-1511-277X)
- Federico Bianchini (ORCID: https://orcid.org/0000-0002-9016-4820)
- Danielle Welter (ORCID: https://orcid.org/0000-0003-1058-2668)
- Niclas Jareborg (ORCID: https://orcid.org/0000-0002-4520-044X)
- Diana Pilvar
- Gil Poires-Oliveira
Institutions
- Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT)
- Uppsala University (SE)
- University of Lisbon (PT)
- University of Oslo (NO)
- Barcelona Supercomputing Center (ES)
- Wellcome Sanger Institute (GB)
- University of Manchester (GB)
- Office of the Director (US)
- VIB-UGent Center for Plant Systems Biology (BE)
- Luxembourg Institute of Health (LU)
- Lygature (NL)
- VIB-UGent Center for Inflammation Research (BE)
- Arbed (Luxembourg) (LU)
- University of Bergen (NO)
- Czech Technical University in Prague (CZ)
- University of Tartu (EE)
- Heidelberg Institute for Theoretical Studies (DE)
- UiT The Arctic University of Norway (NO)
- Universidade Nova de Lisboa (PT)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Patterns
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1016/j.patter.2025.101345
- Citations
- 2
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 6.49
Funders
- UK Research and Innovation
- European Commission
- Fonds Wetenschappelijk Onderzoek
- Knut och Alice Wallenbergs Stiftelse
- Vetenskapsrådet
- Norges Forskningsråd
- Science for Life Laboratory
- Vlaamse regering
- HORIZON EUROPE Framework Programme