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Provenance and Scientific Workflows: Challenges and Opportunities
Summary: Provenance in scientific workflows spans data products and workflow specifications to enable reproducibility, sharing, and reuse. Surveys current systems' provenance support, highlights emerging applications, and sketches open problems and directions for database research.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
4159
Venue
SIGMOD
Year
2008
Pagerank
0.00013214041
Overall Rank
919 | 93.70%
DOI
10.1145/1376616.1376772
Incoming Non-self Citations Over Time
BibTeX Citation
Copy BibTeX
@inproceedings{davidson_sigmod08,
title = {{Provenance and Scientific Workflows: Challenges and Opportunities}},
author = {Davidson, Susan B. and Freire, Juliana},
series = {{SIGMOD} '08},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1376616.1376772},
url = {https://dl.acm.org/doi/10.1145/1376616.1376772},
year = {2008}
}
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LPStream: Fine-grained Lazy Provenance for Stream Processing
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Even Metadata is Getting Big: Annotation Summarization using InsightNotes
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SAASFEE: Scalable Scientific Workflow Execution Engine
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PDiffView: Viewing the Difference in Provenance of Workflow Results
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
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