All of Us Workshop
Overview
This workshop is designed for SHAMP students who are interested in conducting research projects using the 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, and participants are expected to spend time outside of workshop sessions to prepare ahead and practice after sessions.
Prerequisites
- Before participating in this workshop, you must read through Getting Started with All of Us Projects and complete all the numbered steps prior to attending the workshop.
- WWAMI students: Draft a proposal even if your All of Us project is not for Triple-I. It will serve as a blueprint of how you prepare data and plan analysis.
- SHAMP students: Depending on the scope of your project, you may or may not need to identify a formal PI. Discuss with your program director and IOURMR before committing to a project. Also, do prepare a proposal as well.
- Students from other academic units: You do not have to identify an advisor for your project if you already have a PI. You also do not have to meet with IOURMR Research Core since your research is not under IOURMR supervision. But do prepare a proposal to help your data preparation and project planning.
- This is a hands-on workshop. Bring your laptop to all sessions.
- 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.
You must be a registered user of the All of Us Workbench and have created your own Project Workspace in order to participate in the workshop.
Registration
- WWAMI students: No formal registration necessary
- Students from other SHAMP programs or other academic units: Email Yesol and Nick (Contact Us)
Schedule
| Session | Date and Time | Topics Covered |
|---|---|---|
| Session 0 | May 18, 11-12 | • Orientation to the Workbench and Workshop |
| Session 1 | May 21, 10-12 | • 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, 10-12 | • Introduction to R • Working with dataframes in R • Obtaining query results and data wrangling |
| Session 3 | May 28, 10-12 | • More data wrangling • Exploratory data analysis • Data visualization |
| Session 4 | May 29, 10-12 | • Performing statistical tests • Fitting regression models |
- Location: IOURMR Conference Room (D.A. Huckabay Bldg, Rm 122)
Instructor
Yesol Sapozhnikov is a postdoctoral fellow in the School of Health and Medical Professions. She has experience in teaching programming, genomics, and statistics. She is a member of the All of Us Biomedical Researchers Scholars Program by Baylor College of Medicine, and conducting several projects using the database.
Contact Us
Yesol Sapozhnikov
- Workshop inquiries
- All of Us data questions
Office: D.A. Huckabay Medical Education Bldg 122C
Email: yesols@uidaho.edu
Nicholas Coombs
- Student-led project inquiries
- General research questions
Office: D.A. Huckabay Medical Education Bldg 122B
Email: ncoombs@uidaho.edu