Quality data and information form the foundations of the information systems used to manage internal operations and external relationships within the supply chain. Service-oriented architecture (SOA) and multi-channel databases demand high quality data and information in order to be of use to decision makers who must rely on these systems. As a result, data and information quality (DIQ) has increasingly become a focus of both academic research and practitioner concern. DIQ is emerging as an important research discipline in academic and practitioner circles. This paper describes a research framework for classifying the existent DIQ literature. The paper is organized as follows. The next section reviews other literature framework classifications described for DIQ literature. Following this is a description of the PMOT (People, Management, Operations and Technology) framework. Finally, research questions are described, evolving from the PMOT framework. Conclusions and further research illustrates how the PMOT is used to classify the current literature.