Randomized trial demonstrates improved data access in public health emergencies, highlighting the need for structured collaboration.
The NIH launched the Rapid Acceleration of Diagnostics (RADx) Initiative to facilitate timely, accurate, and accessible COVID-19 testing, research, and data sharing. The RADx Data Hub (hereafter referred to as Data Hub) is a centralized repository developed to enable secure access and secondary analysis of curated, de-identified data across RADx Initiative programs. Implementing this Data Hub required extensive nested multiteam system collaboration and alignment. Here, we describe the nested multiteam system framework that effectuated data access within a global crisis as a model for future public health challenges. Our work highlights how structured team science methods can enhance the speed and efficacy of data assembly and distribution to accelerate response during public health crises.
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Farlow et al. (2026) studied this question.
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