文章基本信息

标题：A new approach to measure believability dimension of data quality ,
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作者：Seyed Mohammad Hossein Moossavizadeh ; Mehran Mohsenzadeh ; Nasrin Arshadi 等
期刊名称：Management Science Letters
印刷版ISSN：1923-9335
电子版ISSN：1923-9343
出版年度：2012
卷号：2
期号：7
页码：2565-2570
DOI：10.5267/j.msl.2012.07.007
出版社：Growing Science
摘要：Today's methodologies for data quality assessment and improvement are considerably aimed at reducing costs. Data quality comprises different dimensions, each having certain methods and techniques to assess and improve data quality. One of the most controversial dimensions is data believability in which less attention has been paid by scholars and researchers, because of its ambiguous nature. This is categorized under the "intrinsic data quality" dimensions. The current paper offers a precise and comprehensive definition of such quality dimension, and provides some parameters to understand it. In order to calculate these parameters, furthermore, different methods are discussed.
关键词：Data quality; Believability; Quality dimensions; Assessment of data quality dimensions; Data believability