A Framework for Classification of the Data and Information Quality Literature and Preliminart Results (1996-2007)
The value of management decisions, the security of our nation, and the very foundations of our business integrity are all dependent on the quality of data and information. However, the quality of the data and information is dependent on how that data or information will be used. This paper proposes a theory of data quality based on the five principles defined by J. M. Juran for product and service quality and extends Wang et al’s 1995 framework for data quality research. It then examines the data and information quality literature from journals within the context of this framework.
Neely, M. Pamela and Cook, Jack, "A Framework for Classification of the Data and Information Quality Literature and Preliminart Results (1996-2007)" (2008). AMCIS 2008 Proceedings. 131.