AI Article Synopsis
- Proper planning and execution of clinical data collection are crucial for obtaining reliable results in human nutrition randomized controlled trials (RCTs).
- The article outlines best practices for biospecimen collection, clinical data management, and processes like data entry, cleaning, and database locking.
- Additional resources are provided to help improve the quality of data, ultimately supporting better food and nutrition policies.
Article Abstract
In human nutrition randomized controlled trials (RCTs), planning, and careful execution of clinical data collection and management are vital for producing valid and reliable results. In this article, we provide an overview of best practices for biospecimen collection and analyses, and for the fundamentals of clinical data management, including preparation and study startup; data collection, entry, cleaning, and authentication; and database lock. The reader is also referred to additional resources for information to assist in the planning and conduct of human RCTs. The tools and strategies described are expected to improve the quality of data produced in human nutrition research that can, therefore, be used to support food and nutrition policies.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7849975 | PMC |
| http://dx.doi.org/10.1093/advances/nmaa088 | DOI Listing |
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