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Tracking Personal Data Use: Provenance And Trust

Summary: Advocate Personal Data Use Workbenches to let individuals trace how organizations process and combine their personal data. Pose DB challenges: trust/disclosure tradeoffs, operator heterogeneity needing provenance APIs/high-level specs, and new forward/backward and graph-pattern provenance queries requiring efficient execution. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
243
Venue
CIDR
Year
2015
Pagerank
5.3058708e-05
Overall Rank
9,208 | 36.83%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kot_cidr15,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '15},
        title = {{Tracking Personal Data Use: Provenance And Trust}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Kot, Lucja},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,002 Privacy-Preserving Network Provenance 2017 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
919 Provenance and Scientific Workflows: Challenges and Opportunities 2008 SIGMOD 0.00013214041
1,366 Provenance for Generalized Map and Reduce Workflows 2011 CIDR 0.00011016972
1,786 Putting Lipstick on Pig: Enabling Database-style Workflow Provenance 2012 VLDB 9.7690421e-05
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