Measuring Data Quality: A Review of the Literature between 2005 and 2013

被引：17

作者：

Stausberg, Juergen

Nasseh, Daniel ^{[1
]}

Nonnemacher, Michael ^{[2
]}

机构：

[1] Ludwig Maximilians Univ Munchen, IBE, Munich, Germany

[2] Univ Klinikum Essen, IMIBE, Essen, Germany

来源：

DIGITAL HEALTHCARE EMPOWERING EUROPEANS | 2015年 / 210卷

关键词：

Cohort study; data quality; quality indicators; registry;

D O I：

10.3233/978-1-61499-512-8-712

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A literature review was done within a revision of a guideline concerned with data quality management in registries and cohort studies. The review focused on quality indicators, feedback, and source data verification. Thirty-nine relevant articles were selected in a stepwise selection process. The majority of the papers dealt with indicators. The papers presented concepts or data analyses. The leading indicators were related to case or data completeness, correctness, and accuracy. In the future, data pools as well as research reports from quantitative studies should be obligatory supplemented by information about their data quality, ideally picking up some indicators presented in this review.

引用

下载

页码：712 / 716

页数：5

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