Training
Choose a pathway based on your experience level. The Basic pathway gives you enough to start working with OMOP data; the Advanced pathway builds deeper expertise.
Foundational concepts for working with the OMOP Common Data Model and the OHDSI ecosystem.
Step 1 — Real World Data and OMOP ~10 min
- What is Real World Data, Real World Evidence? — introduction to RWD/RWE in healthcare research and the OMOP-CDM
- What is Federated Data and OMOP? — how federated data relates to the OMOP CDM
Step 2 — The Standardized Vocabularies ~45 min
Requires a free EHDEN Academy account
- Vocabulary Introduction — overview of the OMOP Vocabulary and standardized terminology
- Concepts — how concepts are defined and used in OMOP
- Standardized Concepts — vocabulary structure and utilization
Deeper training for researchers ready to build studies and work directly with OMOP infrastructure. We recommend having database access so you can apply skills immediately.
1. Data to Evidence with OHDSI
OHDSI2025 Tutorial: Introduction to the Journey from Data to Evidence
Foundation for understanding why OHDSI and OMOP matter.
2. CDM and Vocabularies Deep Dive
EHDEN Course: OMOP CDM and Standardized Vocabularies
Detailed breakdown of CDM tables and vocabulary mechanics.
3. ETL Processes
- OHDSI2025 Tutorial: Developing and Evaluating Your ETL Process
- EHDEN Course: Extract, Transform and Load — supplementary deep dive
4. Vocabularies for Research
OHDSI2025 Tutorial: Using the OHDSI Standardized Vocabularies for Research
Emory-Specific Training
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ATLAS
Emory-specific training for building cohorts and running analyses in ATLAS.
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SQL
Tips for writing queries against Emory's OMOP instance, plus a curated query library.
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R
Getting started with R and the HADES ecosystem at Emory.
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Session Tools & Tips
Practical guidance for your day-to-day OMOP workflow.
Community Resources
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OHDSI Educational Resources
EHDEN Academy courses, The Book of OHDSI, community forums, and annual reports.
Next Steps
Once you're familiar with the OMOP-CDM, explore the Applications page for tools you can use — including ATLAS, SQL, R, and Python. If you're working with Epic data and want to see how Epic concepts map to OMOP, see our OMOP Primers.