Returning value to the community through the All of Us Research Program Data Sandbox model

Abstract

Abstract Objective The All of Us Research Program aims to return value to participants by developing research capacity in communities. We describe a novel set of introductory exercises (Data Sandboxes) and specialized trainings to orient researchers to the Researcher Workbench to foster health equity research. Materials and Methods We developed a tailored training to familiarize researchers with the All of Us Research Program: (1) orientation, (2) tailored “data treasure hunt” using the Public Data Browser, and (3) overview of the analyses tools and platform. Results Participants’ pre- and post-knowledge of the contents and structure of the All of Us dataset scores increased significantly after training. These trainings effectively engaged researchers in exploring this rich dataset. Conclusion We describe ways of orienting and familiarizing a wide variety of researchers with the All of Us Research Program dataset, sparking their interest, and “jump-starting” their research.