Automatic provenance capturing for research publications
Authors
Fu, Linyun
ORCID
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Other Contributors
Fox, Peter A.
McGuinness, Deborah L.
Berman, Francine Denise, 1951-
Newberg, Heidi
McGuinness, Deborah L.
Berman, Francine Denise, 1951-
Newberg, Heidi
Issue Date
2015-12
Keywords
Computer science
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
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.
Description
December 2015
School of Science
School of Science
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
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