The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A survey of data provenance in e-science
Abstract
Data management is growing in complexity as large-scale applications take advantage of the loosely coupled resources brought together by grid middleware and by abundant storage capacity. Metadata describing the data products used in and generated by these applications is essential to disambiguate the data and enable reuse. Data provenance, one kind of metadata, pertains to the derivation history of a data product starting from its original sources.In this paper we create a taxonomy of data provenance characteristics and apply it to current research efforts in e-science, focusing primarily on scientific workflow approaches. The main aspect of our taxonomy categorizes provenance systems based on why they record provenance, what they describe, how they represent and store provenance, and ways to disseminate it. The survey culminates with an identification of open research problems in the field.
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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
Cited by
(2010) · Cited by 4,411
Big data challenge: a data management perspective
Chen, J., Chen, Y., Du, X., Li, C., Lu, J., Zhao, S., & Zhou, X. (2013) · Frontiers of Computer Science · doi:10.1007/s11704-013-3903-7 · Cited by 339
A survey on provenance: What for? What form? What from?
Herschel, M., Diestelkämper, R., & Ben Lahmar, H. (2017) · The VLDB Journal · doi:10.1007/s00778-017-0486-1 · Cited by 300
The Foundations for Provenance on the Web
Moreau, L. (2010) · Foundations and Trends® in Web Science · doi:10.1561/1800000010 · Cited by 168
A Case for Data Commons: Toward Data Science as a Service
Grossman, R. L., Heath, A., Murphy, M., Patterson, M., & Wells, W. (2016) · Computing in Science & Engineering · doi:10.1109/mcse.2016.92 · Cited by 78
Metadata
- Authors
- Simmhan, Y. L., Plale, B., & Gannon, D.
- Venue
- ACM SIGMOD Record
- Published
- 2005-09
- Volume
- 34
- Issue
- 3
- Pages
- 31-36
- ISSN
- 0163-5808 (ISSN-L)
- OpenAlex
- W1994326726
- Cited by
- 1,153
- References
- 1
- FWCI
- 124.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Simmhan, Y. L., Plale, B., & Gannon, D. (2005). A survey of data provenance in e-science. ACM SIGMOD Record. https://doi.org/10.1145/1084805.1084812
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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.
