All of Us Workshop
School of Health and Medical Professions, University of Idaho
Overview
This workshop is primarily intended for SHAMP students who are interested in conducting research projects using All of Us Research Program data but do not have programming experience. Participants will gain skills in basic R programming and familiarity with All of Us data and Workbench so that they can complete research projects independently.
The workshop is intentionally short, consisting of four 2-hr sessions (with a 1-hr info session), and participants are expected to spend time outside of workshop sessions to prepare ahead and practice after.
Prerequisites and Expectations
- Complete all the steps laid out in this page: Getting Started with All of Us Projects.
- Non-WWAMI students: Some of the instructions in step A may not be applicable. If you are not sure, contact us.
- This is a hands-on workshop. Bring your own laptop.
- Basic statistics knowledge is expected. We will learn how to perform common statistical tasks in R but will not discuss the theory or interpretation of results in detail.
Workshop Registration
- WWAMI students:
- No action needed if you have been in contact with IOURMR Research Core regarding your project already.
- Students from other SHAMP programs or other academic units:
- Email Yesol and Nick (Contact Us) and let us know your intent to participate.
Schedule for 2026
| Session | Date and Time | Topics Covered |
|---|---|---|
| Session 0 | May 18, 11am-12pm | • Orientation to the Workbench and Workshop |
| Session 1 | May 21, 10am-12pm | • Introduction to cloud computing and Researcher Workbench • Super-brief introduction to relational database structures and queries • Selecting cohorts and building your dataset |
| Session 2 | May 22, 10am-12pm | • Introduction to R • Working with dataframes in R • Obtaining query results and data wrangling |
| Session 3 | May 28, 10am-12pm | • More data wrangling • Exploratory data analysis • Data visualization |
| Session 4 | May 29, 10am-12pm | • Performing statistical tests • Fitting regression models |
- Location: IOURMR Conference Room (D.A. Huckabay Bldg, Rm 122)
Contact Us
Yesol Sapozhnikov, PhD, RN
Postdoctoral Fellow
- Workshop inquiries
- All of Us data questions
Office: D.A. Huckabay Medical Education Bldg 122C
Email: yesols@uidaho.edu
Nicholas Coombs, PhD, MSTAT
Research Assistant Professor
- Student-led project inquiries
- General research questions
Office: D.A. Huckabay Medical Education Bldg 122B
Email: ncoombs@uidaho.edu