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---
layout: talk
title: "WorkflowHub: A registry for computational workflows"
authors: Carole Goble (University of Manchester), Johan Gustafsson (Australian BioCommons, University of Melbourne)
event_date: July 16, 2025
times: 11am-11.30 PST / 2pm-2.30 EST / 20:00-20:30 CEST
talk_number: 4
speakers: [carole_goble, johan_gustafsson]
given: true
image: /images/talks/workflowhub-banner.jpg
presentation: /files/talks/20250716-WorkflowHub.pdf
video: https://www.youtube.com/embed/nrEaIrJHA4o?si=KeigP5HTZV57VJ29
---
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.
<br /><br />
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 1,200 workflows registered.
<br /><br />
<div style="font-size: 0.9em; font-style: italic; color: #555; margin-top: 2em;">
From the abstract of the paper: Gustafsson, O.J.R., Wilkinson, S.R., Bacall, F. et al. <i>WorkflowHub: a registry for computational workflows.</i> Sci Data 12, 837 (2025). <a href="https://doi.org/10.1038/s41597-025-04786-3">https://doi.org/10.1038/s41597-025-04786-3</a>
</div>