TY - GEN
T1 - Yin & Yang
T2 - 6th International Provenance and Annotation Workshop, IPAW 2016
AU - Pimentel, João Felipe
AU - Dey, Saumen
AU - McPhillips, Timothy
AU - Belhajjame, Khalid
AU - Koop, David
AU - Murta, Leonardo
AU - Braganholo, Vanessa
AU - Ludäscher, Bertram
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84976628767&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84976628767&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-40593-3_13
DO - 10.1007/978-3-319-40593-3_13
M3 - Conference contribution
AN - SCOPUS:84976628767
SN - 9783319405926
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 161
EP - 165
BT - Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings
A2 - Glavic, Boris
A2 - Mattoso, Marta
PB - Springer
Y2 - 7 June 2016 through 8 June 2016
ER -