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 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.
PublicationsGuidelines for Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD) https://doi.org/10.1017/cts.2020.24
Use this best practice if you want:
- A framework/toolkit for robust clinical study design (and eCRF design in particular) and data quality management
- A framework by which proposed clinical study plans can be systematically appraised (for example, by funding organi- sations) in terms of their approach to data quality
- A reporting framework with which to describe the steps taken to ensure data quality in the final clinical study publication