Data quality assessment: The Hybrid Approach

被引:29
|
作者
Woodall, Philip [1 ]
Borek, Alexander [1 ]
Parlikad, Ajith Kumar [1 ]
机构
[1] Univ Cambridge, Dept Engn, Inst Mfg, Cambridge CB3 0FS, England
基金
英国工程与自然科学研究理事会;
关键词
Data quality; Information quality; Information quality assessment; Data quality assessment; Hybrid Approach; Assessment techniques; INFORMATION-SYSTEMS; MANAGEMENT;
D O I
10.1016/j.im.2013.05.009
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Various techniques have been proposed to enable organisations to assess the current quality level of their data. Unfortunately, organisations have many different requirements related to data quality (DQ) assessment. For example, some organisations may need to focus on ensuring regulations are met rather than reducing costs. Due to this, organisations may be forced to follow an assessment technique, which may not wholly fit their needs and current situation. Therefore, we propose and evaluate the Hybrid Approach to assessing DQ which demonstrates how to dynamically configure an assessment technique as needed while leveraging the best practices from existing assessment techniques. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:369 / 382
页数:14
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