Designed for research or principal investigators, scholars, research coordinators,
and study staff in all research settings
Effective research data management is essential for ensuring data integrity, reproducibility, and compliance with funder and university requirements. This program equips participants with practical skills and best practices for organizing, storing, and sharing data throughout the research lifecycle.
By completing the certificate, you’ll enhance your research efficiency, improve collaboration, and strengthen the long-term impact of your work.
Required Courses
| Introduction to Research Data Management |
Hybrid
|
select 1 class from each category below (5 total)
| Data Wrangling and Cleaning in OpenRefine |
Self-Paced Online
|
| Data Biz - Best Practices |
Coming 2026-2027
|
| Research Data Already Available (Sourcing Data) |
Coming 2026-2027
|
| Handling Sensitive Data (Working with Indigenous Populations, Human Subjects, Endagered Species, etc.) |
Coming 2026-2027
|
| Getting Published: Responsible Authorship and Peer Review |
Self-Paced Online
|
| National Research Data Resources |
Live Online
|
| EndNote Basic: Mastering EndNote Fundamentals for Citation Management |
Self-Paced Online
|
| Data Storage and Repository Selection |
Self-Paced Online
|
| EndNote Advanced: Optimizing Your EndNote Skills |
Coming 2026-2027
|
| Copyright |
Coming 2026-2027
|
| Academic Freedom and Authorship at the U of U |
Coming 2026-2027
|
| Ethical Data Visualization |
Live Online
|
| Ways Data Collection Can Go Wrong |
Live Online
|
| Data Management in Clinical and Translational Research |
Coming 2026-2027
|
| Access During Certain Times of Year |
Coming 2026-2027
|
| Reproducibility in Research |
Coming 2026-2027
|
| Using Data in AI |
Coming 2026-2027
|
| AI Considerations in Publishing |
Coming 2026-2027
|
