Abstract
Service Oriented Architecture (SOA) is a prospective approach, which enables flexible and loose composition of applications whereas data is an integral part of service. However, the more complex SOA develops, the more likely are data quality (DQ) issues to be encountered. Despite the huge number of studies that have been done on SOA, very little has been investigated about the DQ aspect. Our research examines various perspectives of data quality in the flexible service oriented environment. We propose a set of methods that together are able to detect and analyse poor data. The contribution is that we employ different DQ techniques and apply it to SOA. This study is solidly backed by the Design Science (DS) approach for conducting research which suggests collection of techniques for developing and evaluating artifacts and their relevance in Information systems. The accent of this paper is to show how DS approach aid developing Data Quality Methodology in the service oriented context.
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Petkov, P., Helfert, M. (2013). Developing a Data Quality Methodology in Service Oriented Context Using Design Science Approach. In: Kobyliński, A., Sobczak, A. (eds) Perspectives in Business Informatics Research. BIR 2013. Lecture Notes in Business Information Processing, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40823-6_20
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DOI: https://doi.org/10.1007/978-3-642-40823-6_20
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