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FAIRsharing record for: Data Acquisition, Quality and Curation for Observational Research Designs

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DataCite Commons2024-12-05 更新2025-04-15 收录
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https://fairsharing.org/10.25504/FAIRsharing.6850e0
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This FAIRsharing record describes: The Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD) Guidelines are the first comprehensive set of data quality indicators for large, clinical observational studies. They were developed around the needs of neuroscience projects, but we believe they are relevant and generalizable, 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. At a minimum, they can be used as a checklist for documenting whether an indicator is being addressed fully, partially or not at all. A more extended and informative record can be made by users through creation of a brief narrative for each indicator describing how this is addressed for their study.
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FAIRsharing
创建时间:
2022-05-17
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