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    Book Review: Data Quality: Concepts, Methodologies and Techniques by C. Batini and M. Scannapieco

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    Review of Data quality: Concepts, Methodologies and Techniques by C. Batini and M. Scannapieco

    Cooperation of heterogeneous legacy information systems: a methodological framework

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    In many enterprises the presence of heterogeneous legacy information systems is pervasive, nevertheless the different component organizations need to cooperate in ol del to offer new services. The Distributed Object Computing is a valid approach for. the definition of a cooperative model among heterogeneous legacy information systems, but few methodologies and architectures explicitly address these issues. This paper describes a case study (or better, a set of case studies) in which these issues were addressed: it is the Cooperative Archirecture over the Unitary Network of the Italian Public Administration. Then it proposes some methodological suggestions, steming from the case studies, for the development of cooperative systems based on distributed object middleware

    Methodologies for data quality assessment and improvement

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    The literature provides a wide range of techniques to assess and improve the quality of data. Due to the diversity and complexity of these techniques, research has recently focused on defining methodologies that help the selection, customization, and application of data quality assessment and improvement techniques. The goal of this article is to provide a systematic and comparative description of such methodologies. Methodologies are compared along several dimensions, including the methodological phases and steps, the strategies and techniques, the data quality dimensions, the types of data, and, finally, the types of information systems addressed by each methodology. The article concludes with a summary description of each methodology
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