Distributed Provenance
Distributed Provenance is a type of data provenance that captures and represents the origin, transformation history, and movement of data across multiple autonomous and geographically dispersed systems, distinguished by its emphasis on interoperability, partial observability, and decentralized trust in heterogeneous environments.
68
Publications
2.4K
Citations
268
Authors
119
Institutions
Publications per year
2017–2026
22
Parents
68
Architecture for Provenance Systems
Paul Groth, Sheng Jiang, Simon Miles et al. · ePrints Soton (University of Southampton) · 2005 · 122 citations · Full text
Big data provenance: Challenges, state of the art and opportunities
Jianwu Wang, Daniel Crawl, Shweta Purawat et al. · 2015 · 97 citations · Full text
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119
University of Pennsylvania
Philadelphia, United States
8 h-index
31 publications
916 citations

Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
5 h-index
23 publications
387 citations
Georgetown University
Washington, United States
4 h-index
5 publications
154 citations
University of California, Santa Cruz
Santa Cruz, United States
4 h-index
4 publications
79 citations
University of Southampton
Southampton, United Kingdom
3 h-index
5 publications
282 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
6 publications
77 citations
Stanford University
Stanford, United States
3 h-index
3 publications
250 citations
SRI International
Menlo Park, United States
3 h-index
5 publications
99 citations
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TODS · 2 publications · 57 citations
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2 publications · 88 citations
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1 publications · 138 citations
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1 publications · 17 citations
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1 publications · 14 citations
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