A systematic review of provenance systems
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Provenance tools ease the traceability or lineage of data and model decisions, hence contributing to transparency.
“In this regard, special attention must be paid to provenance tools [56], which ease the traceability or lineage of data and model decisions, hence contributing to the requirement of transparency.”
From Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023) · cites this paper as [56]
Cites
Why and Where: A Characterization of Data Provenance
Buneman, P., Khanna, S., & Wang-Chiew, T. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-44503-x_20 · Cited by 1,334 · see citing works
Green, T. J., Karvounarakis, G., & Tannen, V. (2007) · Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems · doi:10.1145/1265530.1265535 · Cited by 812 · see citing works
The Foundations for Provenance on the Web
Moreau, L. (2010) · Foundations and Trends® in Web Science · doi:10.1561/1800000010 · Cited by 168 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Díaz-Rodríguez, N., Del Ser, J., Coeckelbergh, M., López de Prado, M., Herrera-Viedma, E., & Herrera, F. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101896 · Cited by 800 · see citing works
Managing Provenance Data in Knowledge Graph Management Platforms
Kleinsteuber, E., Al Mustafa, T., Zander, F., König-Ries, B., & Babalou, S. (2024) · Datenbank-Spektrum · doi:10.1007/s13222-023-00463-0 · Cited by 8 · see citing works
Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems
Kroll, J. A. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3442188.3445937 · Cited by 2 · see citing works
- Authors
- Pérez, B., Rubio, J., & Sáenz-Adán, C.
- Affiliations
- Universidad de La Rioja (ES)
- Corresponding author
- Pérez, Beatriz
- Venue
- Knowledge and Information Systems
- Published
- 2018-02-17
- Volume
- 57
- Issue
- 3
- Pages
- 495-543
- ISSN
- 0219-1377 (ISSN-L)
- 0219-3116
- OpenAlex
- W2789202269
- Cited by
- 66
- References
- 3
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 9 · 2023: 11 · 2022: 9 · 2021: 7 · 2020: 7 · 2019: 4 · 2018: 3
- FWCI
- 1.79
- Type
- journal article
- Language
- en
- Open access
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Knowledge and Information Systems (publishedVersion)
- RIUR (Universidad de La Rioja) (submittedVersion, other-oa)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
- Keywords
- data provenance, provenance capture, provenance management, provenance storage, reproducibility, data quality, system comparison
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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