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Lookup NU author(s): Professor Paolo MissierORCiD, Dr Jeremy Bryans
Provenance management still lacks robust models for shar- ing provenance data between multiple parties while keeping parts of it private to the owner. This limits the potential for provenance dissemination, which is a critical step in enabling data sharing amongst partners with limited a priori mutual trust. In turn, this has a negative impact on data-intensive science and its associated research publication repositories, on audit tasks, as well as on increasingly common collabora- tive dynamic coalitions scenarios. We propose a method for preserving privacy by creating abstractions over provenance graphs, we apply it to provenance sharing, and illustrate it on a health care case study.
Author(s): Missier P, Bryans J, Danger R, Curcin V
Publication type: Report
Publication status: Published
Series Title: School of Computing Science Technical Report Series
Year: 2013
Pages: 15
Print publication date: 01/01/2013
Source Publication Date: January 2013
Report Number: 1366
Institution: Newcastle University
Place Published: Newcastle upon Tyne
URL: http://www.cs.ncl.ac.uk/publications/trs/papers/1366.pdf
