Evidence map›Paper›PMID 40399296›Full record

ArticleScientific data2025

WorkflowHub: a registry for computational workflows.

Ove Johan Ragnar Gustafsson, Sean R Wilkinson, Finn Bacall, Stian Soiland-Reyes, Simone Leo, Luca Pireddu, Stuart Owen, Nick Juty, José M Fernández, Tom Brown and 5 more

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Fusion of computational and experimental provenance in RO-Crate.Journal of integrative bioinformatics · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Managing workflow executions with WESkit.Bioinformatics (Oxford, England) · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

15 authors.

Ove Johan Ragnar GustafssonAustralian BioCommons, University of Melbourne, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-2977-5032
Sean R WilkinsonOak Ridge Leadership Computing Facility, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID http://orcid.org/0000-0002-1443-7479
Finn BacallDepartment of Computer Science, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-0048-3300
Stian Soiland-ReyesDepartment of Computer Science, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-9842-9718
Simone LeoCenter for Advanced Studies, Research, and Development in Sardinia (CRS4), Pula, Cagliari, Italy.ORCID http://orcid.org/0000-0001-8271-5429
Luca PiredduCenter for Advanced Studies, Research, and Development in Sardinia (CRS4), Pula, Cagliari, Italy.ORCID http://orcid.org/0000-0002-4663-5613
Stuart OwenDepartment of Computer Science, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0003-2130-0865
Nick JutyDepartment of Computer Science, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-2036-8350
José M FernándezBarcelona Supercomputing Center (BSC), Barcelona, Spain.ORCID http://orcid.org/0000-0002-4806-5140
Tom BrownLeibniz Institute for Zoo- and Wildlife Research, Berlin, Germany.ORCID http://orcid.org/0000-0001-8293-4816
Hervé MénagerInstitut Pasteur, Université Paris Cité, Bioinformatics of Biostatistics Hub, Paris, 75015, France.ORCID http://orcid.org/0000-0002-7552-1009
Björn GrüningAlbert-Ludwigs-Universität Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0002-3079-6586
Salvador Capella-GutierrezBarcelona Supercomputing Center (BSC), Barcelona, Spain.ORCID http://orcid.org/0000-0002-0309-604X
Frederik CoppensVIB Data Core, VIB Technologies, Ghent, Belgium.ORCID http://orcid.org/0000-0001-6565-5145
Carole GobleDepartment of Computer Science, The University of Manchester, Manchester, UK. carole.goble@manchester.ac.uk.ORCID http://orcid.org/0000-0003-1219-2137

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rising popularity of computational workflows is driven by the need for repetitive and scalable data processing, sharing of processing know-how, and transparent methods. As both combined records of analysis and descriptions of processing steps, workflows should be reproducible, reusable, adaptable, and available. Workflow sharing presents opportunities to reduce unnecessary reinvention, promote reuse, increase access to best practice analyses for non-experts, and increase productivity. In reality, workflows are scattered and difficult to find, in part due to the diversity of available workflow engines and ecosystems, and because workflow sharing is not yet part of research practice. WorkflowHub provides a unified registry for all computational workflows that links to community repositories, and supports both the workflow lifecycle and making workflows findable, accessible, interoperable, and reusable (FAIR). By interoperating with diverse platforms, services, and external registries, WorkflowHub adds value by supporting workflow sharing, explicitly assigning credit, enhancing FAIRness, and promoting workflows as scholarly artefacts. The registry has a global reach, with hundreds of research organisations involved, and more than 800 workflows registered.

Identifiers

PMID40399296
PMCPMC12095652

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.