Automatic provenance capturing for research publications

Fu, Linyun
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Other Contributors
Fox, Peter A.
McGuinness, Deborah L.
Berman, Francine Denise, 1951-
Newberg, Heidi
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Computer science
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Provenance is critical for research publication readers to correctly interpret important content and enables them to evaluate the credibility of the reported results by digging into the software in use, source and change of data and responsible agents. It also would enable the reader to reproduce the scientific conclusions by following or adapting the process leading to the reported results. However, the creation of proper provenance for research publications may cost the authors a lot if they lack the necessary knowledge and technical support. First, it requires knowledge of proper logical provenance information to capture for the report creating process, causing extra learning overhead on the authors. Second, it may also require technical knowledge of the physical configurations of the program(s) execution platform such as the operating system or even the computer hardware, in order to obtain useful provenance information for the purpose of reproducibility and validation of the content. This usually entails even more learning overhead. Even if the authors already know what provenance should get recorded and how to record it, the actual recording work is usually distracting to the authors focusing on authoring the research publications and thus insufficiently motivated.
December 2015
School of Science
Dept. of Computer Science
Rensselaer Polytechnic Institute, Troy, NY
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