Abstract
The noWorkflow and YesWorkflow toolkits both enable researchers to capture, store, query, and visualize the provenance of results produced by scripts that process scientific data. noWorkflow captures prospective provenance representing the program structure of Python scripts, and retrospective provenance representing key events observed during script execution. YesWorkflow captures prospective provenance declared through annotations in the comments of scripts, and supports key retrospective provenance queries by observing what files were used or produced by the script. We demonstrate how combining complementary information gathered by noWorkflow and YesWorkflow enables provenance queries and data lineage visualizations neither tool can provide on its own.
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CITATION STYLE
Pimentel, J. F., Dey, S., McPhillips, T., Belhajjame, K., Koop, D., Murta, L., … Ludäscher, B. (2016). Yin & Yang: Demonstrating complementary provenance from noWorkflow & yesWorkflow. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9672, pp. 161–165). Springer Verlag. https://doi.org/10.1007/978-3-319-40593-3_13
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