A framework for information quality assessment

被引:241
作者
Stvilia, Besiki
Gasser, Les
Twidale, Michael B.
Smith, Linda C.
机构
[1] Florida State Univ, Coll Informat, Tallahassee, FL 32306 USA
[2] Univ Illinois, Grad Sch Lib & Informat Sci, Champaign, IL 61820 USA
来源
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY | 2007年 / 58卷 / 12期
关键词
D O I
10.1002/asi.20652
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
One cannot manage information quality (IQ) without first being able to measure it meaningfully and establishing a causal connection between the source of IQ change, the IQ problem types, the types of activities affected, and their implications. In this article we propose a general IQ assessment framework. In contrast to context-specific IQ assessment models, which usually focus on a few variables determined by local needs, our framework consists of comprehensive typologies of IQ problems, related activities, and a taxonomy of IQ dimensions organized in a systematic way based on sound theories and practices. The framework can be used as a knowledge resource and as a guide for developing IQ measurement models for many different settings. The framework was validated and refined by developing specific IQ measurement models for two large-scale collections of two large classes of information objects: Simple Dublin Core records and online encyclopedia articles.
引用
收藏
页码:1720 / 1733
页数:14
相关论文
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