The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
A framework for analysis of data quality research
Open accessAbstract
Organizational databases are pervaded with data of poor quality. However, there has not been an analysis of the data quality literature that provides an overall understanding of the state-of-art research in this area. Using an analogy between product manufacturing and data manufacturing, this paper develops a framework for analyzing data quality research, and uses it as the basis for organizing the data quality literature. This framework consists of seven elements: management responsibilities, operation and assurance costs, research and development, production, distribution, personnel management, and legal function. The analysis reveals that most research efforts focus on operation and assurance costs, research and development, and production of data products. Unexplored research topics and unresolved issues are identified and directions for future research provided.>
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The Entity Relationship Model — Toward a Unified View of Data
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A relational model of data for large shared data banks
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The entity-relationship model—toward a unified view of data
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Beyond Accuracy: What Data Quality Means to Data Consumers
Wang, R. Y., & Strong, D. M. (1996) · Journal of Management Information Systems · doi:10.1080/07421222.1996.11518099 · Cited by 4,672
Self-citationHow information gives you competitive advantage
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Cited by
Data mining: concepts and techniques
(2012) · Choice Reviews Online · doi:10.5860/choice.49-3305 · Cited by 28,531
Beyond Accuracy: What Data Quality Means to Data Consumers
Wang, R. Y., & Strong, D. M. (1996) · Journal of Management Information Systems · doi:10.1080/07421222.1996.11518099 · Cited by 4,672
Self-citationAnchoring Data Quality Dimensions in Ontological Foundations
Wand, Y., & Wang, R. Y. (1996) · Communications of the ACM · doi:10.1145/240455.240479 · Cited by 1,479
Self-citationStrong, D. M., Lee, Y. W., & Wang, R. Y. (1997) · Communications of the ACM · doi:10.1145/253769.253804 · Cited by 1,298
Self-citationA product perspective on total data quality management
Wang, R. Y. (1998) · Communications of the ACM · doi:10.1145/269012.269022 · Cited by 911
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Metadata
- Authors
- Wang, R. Y., Storey, V. C., & Firth, C. P.
- Venue
- IEEE Transactions on Knowledge and Data Engineering
- Published
- 1995
- Volume
- 7
- Issue
- 4
- Pages
- 623-640
- ISSN
- 1041-4347 (ISSN-L)
- OpenAlex
- W2151580670
- Cited by
- 685
- References
- 63
- FWCI
- 20.35
- Type
- journal article
- Language
- en
- Open access
- green
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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.
