Reducing defects in the datasets of clinical research studies: conformance with data quality metrics

Reducing defects in the datasets of clinical research studies: conformance with data quality metrics

Abstract Background A dataset is indispensable to answer the research questions of clinical research studies. Inaccurate data lead to ambiguous results, and the removal of errors results in increased cost. The aim of this Quality Improvement Project (QIP) was to improve the Data Quality (DQ) by enha...

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Bibliographic Details
Main Authors: Naila A. Shaheen, Bipin Manezhi, Abin Thomas, Mohammed AlKelya
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Medical Research Methodology
Subjects:
Defective dataset
Data entry errors
Clinical research data quality
Data quality metrics
Poor-quality dataset
Data quality management
Online Access:http://link.springer.com/article/10.1186/s12874-019-0735-7

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http://link.springer.com/article/10.1186/s12874-019-0735-7

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