Having defined the optimal effort for data maintenance and having provided some clarification of how to understand the costs inflicted by poor quality data, the next step is to make the model even more operational. This means that more detailed methods for evaluating the different types of costs inflicted by poor quality data need to be defined. The propositions presented in this paper represent the initial ideas of a research project, currently ongoing at the University of Southern Denmark. The focus of this research project is to understand how data quality is related to the expenses of a company