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A Framework for Analysis of Data Quality Research (1995)
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| Venue: | IEEE Transactions on Knowledge and Data Engineering |
| Citations: | 139 - 15 self |
BibTeX
@ARTICLE{Wang95aframework,
author = {Richard Y. Wang and Veda C. Storey and Christopher P. Firth},
title = {A Framework for Analysis of Data Quality Research},
journal = {IEEE Transactions on Knowledge and Data Engineering},
year = {1995},
volume = {7},
pages = {623--640}
}
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Abstract
Abstiuct-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 de-velops 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 responsibili-ties, operation and assurance costs, research and development, production, distribution, personnel management, and legal func-tion. The analysis reveals that most research efforts focus on op-eration and assurance costs, research and development, and pro-duction of data products. Unexplored research topics and unre-solved issues are identified and directions for future research provided. Index Terms-Data quality, data manufacturing, data product,
Keyphrases
data quality research data product data quality literature assurance cost data manufacturing management responsibili-ties overall understanding abstiuct-organizational database research effort product manufacturing state-of-art research future research unre-solved issue index terms-data quality research topic poor quality personnel management legal func-tion
