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RDMkit: A research data management toolkit for life sciences

. 2025 Sep 12 ; 6 (9) : 101345. [epub] 20250822

Status PubMed-not-MEDLINE Language English Country United States Media electronic-ecollection

Document type Journal Article

Links

PubMed 41040964
PubMed Central PMC12485516
DOI 10.1016/j.patter.2025.101345
PII: S2666-3899(25)00193-X
Knihovny.cz E-resources

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.

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