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All of Us - Data Deep Dive Online

About All of Us

The All of Us Research program is an ambitious NIH effort to enroll one million or more participants to share data that can fuel new insights into human health. The largest, most diverse biomedical data resource of its kind, 80% of the All of Us data is from communities underrepresented in biomedical research. All of Us includes physical measurements, survey responses, electronic health records and wearables. Ideal for prospective, retrospective and cross sectional analyses the data can be used for investigations related to health disparities, health equity, population health and more. UCSF researchers can now apply to access the data via the Researcher Workbench, a secure, cloud-based platform with collaborative workspaces, cohort-building tools, interactive notebooks and more.

What will I learn in this session?

This session will start with an overview of UCSF involvement in All of Us from Dr. Robert Hiatt and then dive deep into the dataset. We will cover what data is currently available, how to access it, and what kinds of questions researchers are asking.

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This session brought to you by the UCSF Department of Epidemiology & Biostatistics and the UCSF Library

 

Related LibGuide: Population Health and Health Services Research Datasets by Ariel Deardorff

Date:
Tuesday, Nov 9 2021
Time:
1:00pm - 2:00pm
Time Zone:
Pacific Time - US & Canada (change)
Campus:
Online
Online:
This is an online event. Event URL will be sent via registration email.
Categories:
  Data Science > Data Management     Data Science  
Registration has closed.

Event Organizer

Profile photo of Ariel Deardorff
Ariel Deardorff

Data Services Librarian

ariel.deardorff@ucsf.edu