Common Workflow Language, v1.0

Peter Amstutz; Michael R. Crusoe; Nebojša Tijanić; Brad Chapman; John Chilton; Michael Heuer; Andrey Kartashov; Dan Leehr; Hervé Ménager; Maya Nedeljkovich; Matt Scales; Stian Soiland-Reyes; Luka Stojanovic

doi:10.6084/m9.figshare.3115156.v2

Common Workflow Language, v1.0

Peter Amstutz (Editor), Michael R. Crusoe (Editor), Nebojša Tijanić (Editor), Brad Chapman, John Chilton, Michael Heuer, Andrey Kartashov, Dan Leehr, Hervé Ménager, Maya Nedeljkovich, Matt Scales, Stian Soiland-Reyes, Luka Stojanovic

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Research output: Book/Report › Commissioned report

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Abstract

The Common Workflow Language (CWL) is an informal, multi-vendor working group consisting of various organizations and individuals that have an interest in portability of data analysis workflows. Our goal is to create specifications that enable data scientists to describe analysis tools and workflows that are powerful, easy to use, portable, and support reproducibility.CWL builds on technologies such as JSON-LD and Avro for data modeling and Docker for portable runtime environments. CWL is designed to express workflows for data-intensive science, such as Bioinformatics, Medical Imaging, Chemistry, Physics, and Astronomy.This is v1.0 of the CWL tool and workflow specification, released on 2016-07-08

Original language	English
Publisher	figshare
DOIs	https://doi.org/10.6084/m9.figshare.3115156.v2
Publication status	Published - 8 Jul 2016

Keywords

cwl
workflow
specification

Access to Document

10.6084/m9.figshare.3115156.v2Licence: Other

cwl-1.0-workflowFinal published version, 225 KBLicence: Other
cwl-1.0-toolFinal published version, 228 KBLicence: Other
cwl-1.0-saladFinal published version, 136 KBLicence: Other
cwl-1.0-introFinal published version, 129 KBLicence: Other

Cite this

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AU - Heuer, Michael

AU - Kartashov, Andrey

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AU - Nedeljkovich, Maya

AU - Scales, Matt

AU - Soiland-Reyes, Stian

AU - Stojanovic, Luka

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AB - The Common Workflow Language (CWL) is an informal, multi-vendor working group consisting of various organizations and individuals that have an interest in portability of data analysis workflows. Our goal is to create specifications that enable data scientists to describe analysis tools and workflows that are powerful, easy to use, portable, and support reproducibility.CWL builds on technologies such as JSON-LD and Avro for data modeling and Docker for portable runtime environments. CWL is designed to express workflows for data-intensive science, such as Bioinformatics, Medical Imaging, Chemistry, Physics, and Astronomy.This is v1.0 of the CWL tool and workflow specification, released on 2016-07-08

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ER -

Common Workflow Language, v1.0

Abstract

Keywords

Access to Document

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