Abstract
Science has been revolutionalized by the development and use of high-throughput technologies, which generate large amounts of experimental data. This data must then be analyzed to create knowledge, and for this scientists are increasingly turning to scientific workflow systems. Scientific workflow systems not only help conceptualize and visualize the analysis process, but enable the sharing and reuse of subworkflows between analysis processes by maintaining repositories of workflows. © 2013 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Davidson, S. B., Khanna, S., & Milo, T. (2013). To show or not to show in workflow provenance. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8000, 217–226. https://doi.org/10.1007/978-3-642-41660-6_10
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