Evidence map›Paper›PMID 41040964›Full record

ArticlePatterns (New York, N.Y.)2025

RDMkit: A research data management toolkit for life sciences.

Pinar Alper, Flora D'Anna, Bert Droesbeke, Munazah Andrabi, Rafael Andrade Buono, Federico Bianchini, Korbinian Bösl, Ishwar Chandramouliswaran, Martin Cook, Daniel Faria and 15 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Patterns (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Managing workflow executions with WESkit.Bioinformatics (Oxford, England) · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Pinar AlperLuxembourg National Data Service, PNED GIE, 4362 Esch-sur-Alzette, Luxembourg.
Flora D'AnnaVIB Data Core, VIB Technologies, 75 9052 Ghent, Belgium.
Bert DroesbekeVIB Data Core, VIB Technologies, 75 9052 Ghent, Belgium.
Munazah AndrabiThe University of Manchester, Oxford Road, Manchester M13 9PL, UK.
Rafael Andrade BuonoVIB Data Core, VIB Technologies, 75 9052 Ghent, Belgium.
Federico BianchiniCentre for Bioinformatics, University of Oslo, Oslo, Norway.
Korbinian BöslDepartment of Informatics Computational Biology Unit, University of Bergen, Bergen, Norway.
Ishwar ChandramouliswaranOffice of Data Science Strategy, National Institutes of Health, Rockville Pike, Bethesda, MD 20892, USA.
Martin CookELIXIR Hub, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Daniel FariaINESC-ID, IST, University of Lisbon, Lisbon, Portugal.
Nazeefa FatimaThe Arctic University of Norway, Tromsø, Norway.
Rob HooftStichting Health-RI, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands.
Niclas JareborgNational Bioinformatics Infrastructure, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.
Mijke JettenStichting Health-RI, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands.
Diana PilvarELIXIR Estonia, University of Tartu, Tartu, Estonia.
Gil Poires-OliveiraDepartment of Chemistry, NOVA School of Science and Technology, NOVA University, Caparica, 2829-516 Lisbon, Portugal.
Marina PopleteevaLuxembourg Institute of Health, 1 A-B Rue Thomas Edison, 1445 Strassen, Luxembourg.
Laura Portell-SilvaBarcelona Supercomputing Center, Eusebi Guell Square 1-3, 08034 Barcelona, Spain.
Jan SlifkaCzech Technical University in Prague, Thakurova 9, 160 00 Prague, Czech Republic.
Marek SuchánekCzech Technical University in Prague, Thakurova 9, 160 00 Prague, Czech Republic.
Celia van GelderStichting Health-RI, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands.
Danielle WelterLuxembourg National Data Service, PNED GIE, 4362 Esch-sur-Alzette, Luxembourg.
Ulrike WittigHeidelberg Institute for Theoretical Studies, 69118 Heidelberg, Germany.
Frederik CoppensVIB Data Core, VIB Technologies, 75 9052 Ghent, Belgium.
Carole GobleThe University of Manchester, Oxford Road, Manchester M13 9PL, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

data lifecycleFAIRguidelinesRDM communitytool assemblies

Identifiers

PMID41040964
PMCPMC12485516

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.