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Methodologies for Data Quality Assessment and Improvement

delete2009-07-30
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PRE
AI
C
Carlo Batini *
C
Cinzia Cappiello
C
Chiara Francalanci
A
Andrea Maurino
DOI:10.1145/1541880.1541883delete
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摘要

摘要

En 中文
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.
Keyword:
Management
Measurement
Data quality
data quality measurement
data quality assessment
data quality improvement
methodology
information system
quality dimension
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P
Polytechnic University of Milan
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2.0W
论文数: 1.8W
被引数: 24
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university of milano-bicocca
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被引数: 22
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