Gustafsson Ove Johan Ragnar, Wilkinson Sean R, Bacall Finn, Soiland-Reyes Stian, Leo Simone, Pireddu Luca, Owen Stuart, Juty Nick, Fernández José M, Brown Tom, Ménager Hervé, Grüning Björn, Capella-Gutierrez Salvador, Coppens Frederik, Goble Carole
Australian BioCommons, University of Melbourne, Melbourne, Victoria, Australia.
Oak Ridge Leadership Computing Facility, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Sci Data. 2025 May 21;12(1):837. doi: 10.1038/s41597-025-04786-3.
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.
计算工作流日益普及的驱动因素包括对重复且可扩展的数据处理、处理技术诀窍的共享以及透明方法的需求。作为分析的综合记录和处理步骤的描述，工作流应具有可重复性、可重用性、适应性且可获取。工作流共享为减少不必要的重新发明、促进重用、增加非专家对最佳实践分析的获取机会以及提高生产力提供了机遇。实际上，工作流分散且难以查找，部分原因在于可用工作流引擎和生态系统的多样性，还因为工作流共享尚未成为研究实践的一部分。WorkflowHub为所有计算工作流提供了一个统一的注册库，该注册库链接到社区存储库，并支持工作流生命周期以及使工作流可查找、可访问、可互操作和可重用（FAIR）。通过与各种平台、服务和外部注册库进行互操作，WorkflowHub通过支持工作流共享、明确分配功劳、增强FAIR性以及将工作流推广为学术工件来增加价值。该注册库具有全球影响力，有数百个研究组织参与其中，已注册了800多个工作流。
