Conceptual data modeling: assessing empirical studies

Abstract

Conceptual data modeling is used in a variety of IS activities, including enterprise modeling, system requirements determination, logical database design, and data oriented application development. Recently a number of empirical studies have examined conceptual data models. The results from these studies are fragmented, often statistically insignificant, and sometimes conflicting. The authors examine the current literature and explain why the results have been so inconclusive. They pose a theoretical basis for empirical research in this area and discuss issues related to external validity, measurement, and type three errors as they relate to this area of research. Finally, they summarize preliminary findings from a study organized according to this theoretical basis.<>