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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Detalles Bibliográficos
Autores principales: Khan, Farah Zaib, Soiland-Reyes, Stian, Sinnott, Richard O, Lonie, Andrew, Goble, Carole, Crusoe, Michael R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824458/
https://www.ncbi.nlm.nih.gov/pubmed/31675414
http://dx.doi.org/10.1093/gigascience/giz095

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824458/
https://www.ncbi.nlm.nih.gov/pubmed/31675414
http://dx.doi.org/10.1093/gigascience/giz095

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