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  • 标题:A Questionnaire-Based Data Quality Methodology
  • 本地全文:下载
  • 作者:Reza Vaziri ; Mehran Mohsenzadeh
  • 期刊名称:International Journal of Database Management Systems
  • 印刷版ISSN:0975-5985
  • 电子版ISSN:0975-5705
  • 出版年度:2012
  • 卷号:4
  • 期号:2
  • DOI:10.5121/ijdms.2012.4204
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Data quality (DQ) has been defined as “fitness for use” of the data (also called Information Quality). A single aspect of data quality is defined as a “dimension” such as “consistency”, “accuracy”, “completeness”, or “timeliness”. In order to assess and improve data quality, “methodologies” have been defined. Data quality methodologies are sets of guidelines and techniques that are designed for measurement assessment, and perhaps, improving data quality in a given application or organization. If an appropriate list of dimensions is available for the specific needs of an organization, a questionnaire-based methodology can be designed in order to 1. Measure dimensions and identify “weak” dimensions in the organization 2. Select a proper “strategies” to improve data quality. In this paper we propose a questionnaire-based methodology in order to achieve that.
  • 关键词:Data Quality; Dimensions; Methodologies
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