WorkflowHub: a registry for computational workflows
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,...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04786-3 |
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| author | 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 Hervé Ménager Björn Grüning Salvador Capella-Gutierrez Frederik Coppens Carole Goble |
| author_facet | 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 Hervé Ménager Björn Grüning Salvador Capella-Gutierrez Frederik Coppens Carole Goble |
| author_sort | Ove Johan Ragnar Gustafsson |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-fe0971fd7a2a40fab193dd1bf5865e62 |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-fe0971fd7a2a40fab193dd1bf5865e622025-08-20T02:34:06ZengNature PortfolioScientific Data2052-44632025-05-0112111910.1038/s41597-025-04786-3WorkflowHub: a registry for computational workflowsOve Johan Ragnar Gustafsson0Sean R. Wilkinson1Finn Bacall2Stian Soiland-Reyes3Simone Leo4Luca Pireddu5Stuart Owen6Nick Juty7José M. Fernández8Tom Brown9Hervé Ménager10Björn Grüning11Salvador Capella-Gutierrez12Frederik Coppens13Carole Goble14Australian BioCommons, University of MelbourneOak Ridge Leadership Computing Facility, Oak Ridge National LaboratoryDepartment of Computer Science, The University of ManchesterDepartment of Computer Science, The University of ManchesterCenter for Advanced Studies, Research, and Development in Sardinia (CRS4)Center for Advanced Studies, Research, and Development in Sardinia (CRS4)Department of Computer Science, The University of ManchesterDepartment of Computer Science, The University of ManchesterBarcelona Supercomputing Center (BSC)Leibniz Institute for Zoo- and Wildlife ResearchInstitut Pasteur, Université Paris Cité, Bioinformatics of Biostatistics HubAlbert-Ludwigs-Universität FreiburgBarcelona Supercomputing Center (BSC)VIB Data Core, VIB TechnologiesDepartment of Computer Science, The University of ManchesterAbstract 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.https://doi.org/10.1038/s41597-025-04786-3 |
| spellingShingle | 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 Hervé Ménager Björn Grüning Salvador Capella-Gutierrez Frederik Coppens Carole Goble WorkflowHub: a registry for computational workflows Scientific Data |
| title | WorkflowHub: a registry for computational workflows |
| title_full | WorkflowHub: a registry for computational workflows |
| title_fullStr | WorkflowHub: a registry for computational workflows |
| title_full_unstemmed | WorkflowHub: a registry for computational workflows |
| title_short | WorkflowHub: a registry for computational workflows |
| title_sort | workflowhub a registry for computational workflows |
| url | https://doi.org/10.1038/s41597-025-04786-3 |
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