Subjective Assessment of Data Quality considering their Interdependencies and Relevance according to the Type of Information Systems

Abstract — The assessment of Data Quality varies according to the information systems, quality properties, quality priorities, and user experience among other factors. This paper presents a number of user stereotypes, a study of the relevance of the quality properties from experienced users mainly at the industry and an assessment method for subjective quality criteria considering their interdependencies. A Data Quality Manager prototype has been extended to suggest quality properties, their corresponding priorities and the possibility of subjective assessment of secondary quality criteria. The relevance and assessment of quality criteria according to the type of Information Systems is presented and validated. Keywords-data quality; subjective assessment; user stereotypes; quality framework; data cleansing. I