Grant funding agencies are continuing to move toward their own standardized database platforms in the pursuit of harmonizing data and reproducing results. The National Institute of Mental Health Data Archive (NDA) is one such mission. This initiative serves as a repository for data collected by investigators who have been funded by the NIH/NIMH and have committed to sharing their data with the NDA. Preparing data captured by assessment and imaging collection and management systems (e.g. XNAT, Qualtrics, and REDcap) for submission can be challenging. NDA data submissions are performed through standalone GUI-only applications, limiting automation possibilities.
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