Data quality procedures are vital in conducting survey research, yet they are under-emphasized in information systems (IS) Ph.D. curricula and published journal articles. In this research-in-progress, we offer the “5-C Framework” to evaluate the current state of IS survey research, as it pertains to data quality, provide insight into where IS Ph.D. curricula may be lacking, and offer a basis for developing new curricula that address those gaps. In pursuit of our objectives, we present preliminary findings from our analysis of IS survey research between 2008 and 2017. This work should interest those developing IS Ph.D. curricula. Establishing guidelines, based on the 5-C framework, can aid educators in teaching Ph.D. students how to enact and communicate data quality procedures effectively.
Burleson, James; Carter, Michelle; and Sarabadani, Jalal, "ON THE IMPORTANCE OF DATA QUALITY IN INFORMATION SYSTEMS RESEARCH AND PH.D. CURRICULA" (2018). Proceedings of the 2018 AIS SIGED International Conference on Information Systems Education and Research. 19.