Maintaining quality data and information challenges today’s organizations, and is essential to good decisionmaking and competitive advantage. The purpose of this study is to understand the dimensions of data quality and to learn how managers perceive them. The 20 dimensions of data quality posited by Wang and Strong were used in this study. The relative importance of those dimensions by healthcare industry managers was assessed. Study findings indicate that all 20 of Wang and Strong’s data quality descriptive dimensions are important to the healthcare industry. Additionally, data from this exploratory research seems to suggest that there may not be a “one size fits all” model for data quality.
Gendron, Michael S. and D'Onofrio, Marianne J., "An Exploratory Study Investigating Data Quality in the Healthcare Industry: What are the Implicatons for Daya Warehousing?" (2000). AMCIS 2000 Proceedings. 162.