End-to-end-provenance.github.io

fruits of provenance fruits of provenance

End-To-End-Provenance

Provenance (also known as pedigree or lineage) refers to the complete history of a document. In the scientific community, provenance refers to the information that describes data in sufficient detail to facilitate reproduction and enable validation of results. In the archival community, provenance refers to the chain of ownership and the transformations a document has undergone. However, in most computer systems today, provenance is an after-thought, implemented as an auxiliary indexing structure parallel to the actual data.

Our goal in this project is to design, build, and study an end-to-end system that extends all the way from original data analyses by real scientists to management and analysis of the resulting provenance in a common framework with common tools.

Software Tools

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Acknowledgments

R tool development started in 2013 at the Harvard Forest and was supported by NSF grants DEB-1237491, DBI-1459519, and SSI-1450277, a Charles Bullard Fellowship at Harvard University, and a faculty fellowship from Mount Holyoke College, and is a contribution from the Harvard Forest Long-Term Ecological Research (LTER) program. This project benefited greatly from earlier work by Lee Osterweil, Lori Clarke, and Alexander Wise at the University of Massachusetts Amherst.

CamFlow development started in 2014 at the University of Cambridge’s Opera Research Group under grant EPSRC EP/K011510/1. Later development was supported by Harvard University’s Center for Research on Computation and Society under NSF grant SSI-1450277. We also acknowledge the support of the University of Cambridge’s Digital Technology Group and the University of Bristol Cyber Security Group.

We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC).

Cette recherche a été financée par le Conseil de recherches en sciences naturelles et en génie du Canada (CRSNG).