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Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv
BACKGROUND: 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...
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| Publié dans: | Gigascience |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6824458/ https://ncbi.nlm.nih.gov/pubmed/31675414 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giz095 |
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