The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Data Provenance: Some Basic Issues
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Self-citation
Cited by
Machine learning with big data: challenges and approaches.
L'Heureux, A., Grolinger, K., Elyamany, H. F., & Capretz, M. A. M. (2017) · IEEE Access · doi:10.1109/access.2017.2696365 · Cited by 1,023
Challenges and opportunities of open data in ecology
Reichman, O. J., Jones, M. B., & Schildhauer, M. P. (2011) · Science · doi:10.1126/science.1197962 · Cited by 600
Provenance Collection Support in the Kepler Scientific Workflow System
Altintas, I., Barney, O., & Jaeger-Frank, E. (2006) · Lecture Notes in Computer Science · doi:10.1007/11890850_14 · Cited by 269
Blockchain-assisted access for federated Smart Grid domains: Coupling and features
Alcaraz, C., Rubio, J. E., & Lopez, J. (2020) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2020.05.012 · Cited by 38
Data provenance in healthcare: approaches, challenges, and future directions
Ahmed, M., Dar, A. R., Helfert, M., Khan, A., & Kim, J. (2023) · Sensors · doi:10.3390/s23146495 · Cited by 31
Metadata
- Authors
- Buneman, P., Khanna, S., & Tan, W.-C.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2000
- Pages
- 87-93
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W1582521812
- Cited by
- 242
- References
- 1
- FWCI
- 4.00
- Type
- conference paper
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Data Provenance: Some Basic Issues. https://app.cochat.ai/papers/10.1007/3-540-44450-5_6
- The paper
- Buneman, P., Khanna, S., & Tan, W.-C. (2000). Data Provenance: Some Basic Issues. Lecture Notes in Computer Science. https://doi.org/10.1007/3-540-44450-5_6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.