QUALITY DIMENSIONS OF A CONCEPTUAL VIEW

被引：40
|
作者：
LEVITIN, A [1 ]
REDMAN, T [1 ]
机构：
[1] AT&T BELL LABS,PRINCETON,NJ
来源：
INFORMATION PROCESSING & MANAGEMENT | 1995年 / 31卷 / 01期
关键词：
CONCEPTUAL DATA MODEL; QUALITY;
D O I：
10.1016/0306-4573(94)00030-7
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Data quality is usually associated with the quality of data values. But even perfectly correct data values are of little use if they are based on a deficient data model. The purpose of this paper is to present and discuss a list of characteristics (dimensions) that are crucial for data model quality. We single out 14 quality dimensions, organized into six categories: content, scope, level of detail, composition, consistency, and reaction to change. Two types of correlation among dimensions called ''reinforcements'' and ''tradeoffs'' are recognized and discussed as well.
引用
收藏
页码：81 / 88
页数：8
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