Details

Autor(en) / Beteiligte

• BATINI, Carlo
• CAPPIELLO, Cinzia
• FRANCALANCI, Chiara
• MAURINO, Andrea

Titel

Methodologies for Data Quality Assessment and Improvement

Ist Teil von

• ACM computing surveys, 2009-07, Vol.41 (3), p.1-52

Ort / Verlag

New York, NY: Association for Computing Machinery

Erscheinungsjahr

2009

Quelle

ACM Digital Library

Beschreibungen/Notizen

• 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.