Selecting data quality requirements for each different web functionalities

Data is considered as one of the most important asset for organizations. Its strategic value leads to reconsider the importance of maintaining adequate levels of quality in data that is managed and used by applications, especially in Web Applications as the main organizational showcase. 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 and avoiding DQ problems that can arise through the functionalities of a Web application. The problems are characterized according to the 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 at least to minimize the effects of the DQ problems on the execution of users task. The main contribution of this paper is MOSCAF, a “Model for the selection of DQ requirements according the functionalities to be implemented in a Web application”. © 2014 MIT Information Quality Program. All rights reserved.

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