Abstract: To ensure validity in survey research, it is imperative that we properly educate doctoral students on best practices in data quality procedures. A 14-year analysis of 679 studies in the AIS “Basket of 8” journals noted undercommunication in the most pertinent procedures, consistent across journals and time. Given recent calls for improvements in data transparency, scholars must be educated on the importance and methods for ensuring data quality. Thus, to guide the education of doctoral students, we present a “5-C Framework'' of data quality procedures derived from a wide-ranging literature review. Additionally, we describe a set of guidelines regarding enacting and communicating data quality procedures in survey research.

Keywords: Doctoral program, IS curriculum, IS research, Data management

Download This Article: JISE2023v34n4pp418-429.pdf

Recommended Citation: Burleson, J., Bott, G. J., Carter, M., & Sarabadani, J. (2023). Data Quality Procedures in Survey Research: An Analysis and Framework for Doctoral Program Curricula. Journal of Information Systems Education, 34(4), 418-429.