Common Workflow Language, draft 3
datasetposted on 15.03.2016 by Peter Amstutz, Robin Andeer, Brad Chapman, John Chilton, Michael R. Crusoe, Roman Valls Guimerà, Guillermo Carrasco Hernandez, Sinisa Ivkovic, Andrey Kartashov, John Kern, Dan Leehr, Hervé Ménager, Maxim Mikheev, Tim Pierce, Josh Randall, Stian Soiland-Reyes, Luka Stojanovic, Nebojša Tijanić
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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 draft 3 of the CWL tool and workflow specification, released on 2016-02-05.
The specification, in HTML format, is in the draft-3/docs folder.