Loading Events

« All Events

  • This event has passed.

All of Us: A Comprehensive Precision Medicine Data Hub for UC Researchers

February 14 @ 9:00 am - 11:00 am

Register Now

This workshop is being offered virtually on Zoom in conjunction with UC Love Data Week. Advance registration required: https://reservations.library.ucdavis.edu/event/11932106


All of Us (AoU) Research Program, is a National Institutes of Health (NIH) program that aims to enroll one million diverse participants to address historical gaps in medical research. The goal of the program is better health for all of us. Its mission is to accelerate health research and medical breakthroughs, enabling individualized prevention, treatment, and care for all. The program does this by leveraging the power of cloud computing, the program facilitates extensive collaborations and robust analyses. AoU compiles a comprehensive dataset (the All of Us Researcher Workbench) which includes survey responses, physical measurements, bio samples, Electronic Health Records (EHRs), and genomic data. As of November 2023, All of Us boasts over 741,000 enrolled participants, with 508,000 completing initial program steps, over 409,000 electronic medical records, and 525,000 bio samples. Notably, 75% of participants with available data on the All of Us Researcher Workbench identify with underrepresented communities, and 45% belong to racial and ethnic minority groups.

The All of Us program provides a user-friendly environment for researchers to use the database through the All of Us Researcher Workbench. This platform offers an accessible and secure space to conduct analyses, ensuring that the wealth of data collected is readily available for scientific exploration. This dataset provides a significant step toward fostering innovation and cultivating a comprehensive understanding of health determinants in diverse populations. By encompassing this broad spectrum of health-related data, the All of Us dataset opens doors for a myriad of analyses, including Exposure Assessment, Health Disparities, Environmental Justice, Genetic-Environmental Interactions, and Behavioral Responses to Environmental Factors.

Session Content:

In the first hour, we will deliver an informative presentation covering the purpose All of Us program, the available participant data and resources, and key benefits for researchers. Additionally, we will showcase various research examples conducted using this extensive database.

The second hour, we will focus on guiding participants through enrollment including where to access the database. We will elaborate on the different tools and resources available which provide insights into the workbench. This will include a detailed presentation on creating cohorts and datasets and instructions on exporting data for further analysis.

This workshop is particularly relevant for researchers and students engaged in various fields, including public health, epidemiology, medicine, genetics, psychology, and any area where data from Fitbit, medical records, genetics, and social health determinants play a crucial role.

Learning Objectives

At the end of this workshop attendees should be able to:
1. Explain the purpose of the All of Us Research Program
2. Understand the data within the All of Us database, including its types and characteristics.
3. Retain knowledge about the account creation process and steps to access the dataset and be able to enroll on their own.
4. Identify and navigate the various tools and resources provided by the program.
5. Model basic workbench steps including cohort creation and required analysis procedures.


This workshop is intended for researchers across the University of California system. Participants must be affiliated with the University of California to directly access the All of Us data platform, which will require an additional online data security and compliance training.


Dr. Yury E. Garcia earned her doctorate at the Center for Research in Mathematics (CIMAT) in 2017. Dr. Garcia’s research expertise is on the intersection of mathematical biology and public health. Engaging in interdisciplinary collaborations, she develops and implements mathematical tools to address various challenges in her field. Initially concentrating on mathematical epidemiology, her work spans multi-pathogen models for acute respiratory diseases, vector-borne diseases influenced by climate change, and the dynamics of COVID-19. Dr. Garcia prioritizes close collaboration with public health officials, contributing to developing mathematical tools for infectious disease control and surveillance. Dr. Garcia has worked with the Center for Research in Pure and Applied Mathematics at the University of Costa Rica where she actively contributed to developing mathematical models to understand the dynamics of COVID-19 across all of Costa Rica. This collaborative effort involved working closely with the Costa Rican Ministry of Health, the Costa Rican Security Fund, and the Pan American Health Organization, enhancing decision-making processes related to the pandemic. Dr. Garcia also has partnered with the Pan American Health Organization in recent collaborative endeavors to model and create an interactive dashboard to facilitate public health authorities’ identification of key factors influencing indicators measuring specific Sustainable Development Goals (SDGs). Currently, Dr. Garcia works as the Data Analyst Lead for the UC Davis Center for Reducing Health Disparities, supporting the efforts of the All of Us CTSA-PACER Community Network (CPCN) which was established to expand the utilization of All of Us data among students, researchers from academic institutions and the community. The CPCN is composed of community engagement leaders from institutions holding Clinical and Translational Science Awards, University of California, Davis is one of those institutions and others include Albert Einstein College of Medicine, Indiana University, Oregon Health & Science University, University of Florida (as the lead institution), University of Kentucky, and the University of Minnesota.


February 14
9:00 am - 11:00 am
Event Tags:
, , , , ,




DataLab: Data Science and Informatics (DSI)