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Cited by 419

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Overview and Framework for Data and Information Quality Research

Madnick, Stuart E., Wang, Richard Y., Lee, Yang W., Zhu, Hongwei·2009·Journal of Data and Information Quality

Abstract

Awareness of data and information quality issues has grown rapidly in light of the critical role played by the quality of information in our data-intensive, knowledge-based economy. Research in the past two decades has produced a large body of data quality knowledge and has expanded our ability to solve many data and information quality problems. In this article, we present an overview of the evolution and current landscape of data and information quality research. We introduce a framework to characterize the research along two dimensions: topics and methods . Representative papers are cited for purposes of illustrating the issues addressed and the methods used. We also identify and discuss challenges to be addressed in future research.

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Metadata

Authors
Madnick, S. E., Wang, R. Y., Lee, Y. W., & Zhu, H.
Venue
Journal of Data and Information Quality
Published
2009-06
Volume
1
Issue
1
Pages
1-22
ISSN
  • 1936-1955 (ISSN-L)
  • 1936-1963
OpenAlex
W2065753378
Cited by
419
References
7
FWCI
45.55
Type
journal article
Language
en
Open access
closed

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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.