Article

RDMkit: A research data management toolkit for life sciences

Patterns

Alper, Pinar; D'Anna, Flora; Goble, Carole — 2025 — Elsevier Inc.

Key information

Authors:

Alper, Pinar; D'Anna, Flora; Droesbeke, Bert; Andrabi, Munazah; Andrade Buono, Rafael; Bianchini, Federico; Bösl, Korbinian; Chandramouliswaran, Ishwar; Cook, Martin; Faria, Daniel (Daniel Pedro de Jesus Faria); Fatima, Nazeefa; Hooft, Rob; Jareborg, Niclas; Jetten, Mijke; Pilvar, Diana; Poiares-Oliveira, Gil (Gil Poiares-Oliveira); Popleteeva, Marina; Portell-Silva, Laura; Slifka, Jan; Suchánek, Marek; van Gelder, Celia; Welter, Danielle; Wittig, Ulrike; Coppens, Frederik; Goble, Carole

Published in

August 22, 2025

Abstract

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.

Publication details

Authors in the community:

Publication version

VoR - Version of Record

Publisher

Elsevier Inc.

Link to the publisher's version

https://www.sciencedirect.com/science/article/pii/S266638992500193X

Title of the publication container

Patterns

First page or article number

101345

ISSN

2666-3899

DOI

10.1016/j.patter.2025.101345

Fields of Science and Technology (FOS)

computer-and-information-sciences - Computer and information sciences

Keywords

  • data lifecycle
  • guidelines
  • FAIR
  • RDM community
  • tool assemblies

Publication language (ISO code)

eng - English

Alternative identifier (URI)

https://doi.org/10.1016/j.patter.2025.101345

Rights type:

Only metadata available

Creative Commons license

CC-BY - Attribution