Methodologies for Data Quality Assessment and Improvement
Methodologies for Data Quality Assessment and Improvement
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DOI：
10.1145/1541880.1541883
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发表时间：
2009-01-01
影响因子：
16.6
通讯作者：
Maurino, Andrea
中科院分区：
文献类型：
--
作者：
Batini, Carlo;Cappiello, Cinzia;Maurino, Andrea
文献提供了广泛的技术来评估和提高数据的质量。由于这些技术的多样性和复杂性，研究最近集中在定义方法，帮助选择，定制和应用数据质量评估和改进技术。本文的目的是提供一个系统的和比较的描述，这些方法。沿着几个方面比较各种方法，包括方法的阶段和步骤、战略和技术、数据质量方面、数据类型，最后是每种方法所针对的信息系统类型。文章最后总结了每种方法。
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.