METHODS: Forty-six experts participated in a modified Delphi process to reach consensus on indicators of data curation that could be used in the design and reporting of studies.
RESULTS: We identified 46 indicators that are applicable to the design, training/testing, run time and post-collection phases of studies.
CONCLUSIONS: The Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD) Guidelines are the first comprehensive set of data quality indicators for large observational studies. They were developed around the needs of neuroscience projects, but we believe they are relevant and generalisable, in whole or in part, to other fields of health research, and also to smaller observational studies and preclinical research. The DAQCORD Guidelines provide a framework for achieving high-quality data; a cornerstone of health research.
方法:46名专家参与了一个改进的德尔菲过程,以就可用于设计和报告研究的数据管理指标达成共识。
结果:我们确定了适用于设计的46个指标,培训/测试,研究的运行时间和收集后阶段。
结论:数据采集,观察性研究设计的质量和固化(DAQCORD)指南是大型观察性研究的第一套全面的数据质量指标。它们是围绕神经科学项目的需要而开发的,但是我们相信它们是相关的和普遍的,全部或部分,其他健康研究领域,以及较小的观察性研究和临床前研究。DAQCORD指南提供了实现高质量数据的框架;健康研究的基石。