The End-to-End Provenance Project

Aaron M Ellison; Emery R Boose; Barbara S Lerner; Elizabeth Fong; Margo Seltzer

doi:10.1016/j.patter.2020.100016

The End-to-End Provenance Project

Patterns (N Y). 2020 May 8;1(2):100016. doi: 10.1016/j.patter.2020.100016.

Authors

Aaron M Ellison¹, Emery R Boose¹, Barbara S Lerner², Elizabeth Fong², Margo Seltzer³

Affiliations

¹ Harvard University, Harvard Forest, 324 North Main Street, Petersham, MA 01366, USA.
² Department of Computer Science, Mount Holyoke College, South Hadley, MA 01075, USA.
³ Department of Computer Science, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

Abstract

Data provenance is a machine-readable summary of the collection and computational history of a dataset. Data provenance confers or adds value to a dataset, helps reproduce computational analyses, or validates scientific conclusions. The people of the End-to-End Provenance Project are a community of professionals who have developed software tools to collect and use data provenance.

Publication types

News