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

机译：测量数据质量：2005年至2013年期间的文献综述

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A literature review was dene 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.

机译：文献综述是Dene在修订的指导方面有关注册管理机构和队列研究中的数据质量管理。审查专注于质量指标，反馈和源数据验证。在逐步选择过程中选择三十九种相关制品。大多数论文处理指标。论文提出了概念或数据分析。前导指标与情况或数据完整性，正确性和准确性有关。在未来，数据池以及来自定量研究的研究报告应该是有关其数据质量的信息的强制性，理想地拿起本综述中提供的一些指标。

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《Medical Informatics in Europe Conference.》|2015年|OpenAccess|共7页
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Jurgen STAUSBERG; Daniel NASSEH; Michael NONNEMACHER;
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中图分类 R-058;
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Measuring Data Quality: A Review of the Literature between 2005 and 2013

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