Developing a Data Quality Research Taxonomy - an organizational perspective

Data and Information Quality (DIQ) is a fast growing research area aiming to improve the effectiveness of decision making in organizations. Due to the multi-disciplinary nature of DIQ research, it is challenging to outline the domain from various views. As a consequence, researchers often focus on only one single aspect of DIQ issues. As far as we know, there is no comprehensive taxonomy of DIQ research area available, in particular including organizational aspects. This paper analyses contributions from relevant journals and conferences addressing DIQ issues. Our analysis shows that managerial and strategic issues are dominant in DIQ research, followed by the role of information technology in the organizations. Our analyses also demonstrate that managing information processes lacks research attentions at present. Furthermore, the analysis indicates that there is a research gap for designing the processes in order to control information problems in organizations.