WorkflowHub: a registry for computational workflows
<|reference_start|>WorkflowHub: a registry for computational workflows: 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 700 workflows registered.<|reference_end|>
@article{gustafsson2024workflowhub:,
    title={WorkflowHub: a registry for computational workflows},
    author={Ove Johan Ragnar Gustafsson, Sean R. Wilkinson, Finn Bacall, Luca
  Pireddu, Stian Soiland-Reyes, Simone Leo, Stuart Owen, Nick Juty, Jos'e M.
  Fern'andez, Bj"orn Gr"uning, Tom Brown, Herv'e M'enager, Salvador
  Capella-Gutierrez, Frederik Coppens and Carole Goble},
    journal={arXiv preprint arXiv:2410.06941},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.06941},
    primaryClass={cs.DL cs.SE}
}