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Guidelines for Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD).

Ari ErcoleVibeke BrinckPradeep GeorgeRamona HicksJilske A HuijbenMichael JarrettMary J VassarLindsay Wilsonnull null
Published in: Journal of clinical and translational science (2020)
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.
Keyphrases
  • electronic health record
  • big data
  • quality improvement
  • clinical practice
  • stem cells
  • cell therapy
  • bone marrow