Selecting Web Functionalities versus Data Quality Dimensions: A First Approach

Data is considered as fundamental asset for organizations, its strategic value leads to reconsider the importance of maintaining adequate levels of quality in data that is managed by applications. However, within the context of Web applications development, no mechanisms to adequately control Data Quality (DQ) requirements have been still proposed. This proposal is grounded on the idea of anticipating DQ problems that can arise through the functionalities of a Web application. The problems are characterized according to affected DQ dimensions. To do so, our aim is to identify DQ Requirements that will be translated into specific software requirements. By these means, we intend to avoid, or to minimize the effects of the DQ problems on the execution of users task. The main contribution of this paper is a “Model for the selection of DQ requirements according the web functionalities to be implemented”.