A FRAMEWORK FOR ANALYSIS OF DATA QUALITY RESEARCH

Organizational databases are pervaded with data of poor quality. Howev er, there has not been an analysis of the data quality literature that provides an overall understanding of the state-of-art research in thi s area. Using an analogy between product manufacturing and data manufa cturing, this paper develops a framework for analyzing data quality re search, and uses it as the basis for organizing the data quality liter ature. This framework consists of seven elements: management responsib ilities, operation and assurance costs, research and development, prod uction, distribution, personnel management, and legal function. The an alysis reveals that most research efforts focus on operation and assur ance costs, research and development, and production of data products. Unexplored research topics and unresolved issues are identified and d irections for future research provided.