A framework for analysis of data quality research

Wang, R.Y., Storey, V.C. and Firth, C. P. (1995) A framework for analysis of data quality research. IEEE Transactions on Knowledge and Data Engineering, 7 (4). pp. 623-640. ISSN 1041-4347

Full content URL: https://doi.org/10.1109/69.404034

Full text not available from this repository.

Item Type:Article
Item Status:Live Archive


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.

Keywords:Data analysis, Databases, data integrity, quality control
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:Lincoln International Business School
Related URLs:
ID Code:27047
Deposited On:26 Apr 2017 09:23

Repository Staff Only: item control page