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• W2955573656 abstract "The automation of data analysis in the form of scientific workflows has become a widely adopted practice in many fields of research. Computationally driven data-intensive experiments using workflows enable automation, scaling, adaptation, and provenance support. However, there are still several challenges associated with the effective sharing, publication, and reproducibility of such workflows due to the incomplete capture of provenance and lack of interoperability between different technical (software) platforms.Based on best-practice recommendations identified from the literature on workflow design, sharing, and publishing, we define a hierarchical provenance framework to achieve uniformity in provenance and support comprehensive and fully re-executable workflows equipped with domain-specific information. To realize this framework, we present CWLProv, a standard-based format to represent any workflow-based computational analysis to produce workflow output artefacts that satisfy the various levels of provenance. We use open source community-driven standards, interoperable workflow definitions in Common Workflow Language (CWL), structured provenance representation using the W3C PROV model, and resource aggregation and sharing as workflow-centric research objects generated along with the final outputs of a given workflow enactment. We demonstrate the utility of this approach through a practical implementation of CWLProv and evaluation using real-life genomic workflows developed by independent groups.The underlying principles of the standards utilized by CWLProv enable semantically rich and executable research objects that capture computational workflows with retrospective provenance such that any platform supporting CWL will be able to understand the analysis, reuse the methods for partial reruns, or reproduce the analysis to validate the published findings." @default.
• W2955573656 created "2019-07-12" @default.
• W2955573656 creator A5002386793 @default.
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• W2955573656 creator A5027899893 @default.
• W2955573656 creator A5029941394 @default.
• W2955573656 creator A5040816884 @default.
• W2955573656 date "2019-11-01" @default.
• W2955573656 modified "2023-10-15" @default.
• W2955573656 title "Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv" @default.
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• W2955573656 doi "https://doi.org/10.1093/gigascience/giz095" @default.
• W2955573656 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6824458" @default.
• W2955573656 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31675414" @default.
• W2955573656 hasPublicationYear "2019" @default.
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• W2955573656 citedByCount "44" @default.

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