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Resources

A comprehensive library for trainers, analysts, and learners in the OHDSI Train-the-Trainer program.

Core OHDSI Resources

Key official sites and references maintained by the global OHDSI community.

Learning & Training

Educational materials, tutorials, and recorded sessions to deepen OMOP/OHDSI knowledge.

Introduction to OMOP: Your Frequently Asked Questions Answered

Taught by: Danielle Boyce (ALS TDI) and Pavel Goriacko (Montefiore)
Hosted on the Tufts CTSI iLEARN platform.

Overview - A practical, accessible introduction to the OMOP Common Data Model, vocabulary concepts, and the OHDSI ecosystem.
- Designed to address common questions from analysts, clinicians, and data engineers new to OMOP.
- Ideal for onboarding new OHDSI collaborators and supplementing the Week 1 curriculum.

Enroll: Click here to join the course →

EHDEN Academy — All Courses

EHDEN Academy offers free, self-paced training from the European Health Data & Evidence Network on topics essential to the OMOP and OHDSI communities.

Highlights - OMOP Common Data Model & Standardized Vocabularies
- ETL Design, Data Quality, and Governance
- Observational Health Data Science, RWE, and OHDSI Tooling

Use in this program - Great supplemental material for Weeks 1–2 (CDM & Vocabularies)
- Deep dives for ETL and Data Quality sessions later in the curriculum

Access: academy.ehden.eu → All Courses

ELIXIR-EXCELERATE Train-the-Trainer Repository)

A foundational Train-the-Trainer resource developed as part of the ELIXIR / EXCELERATE project.
This GitHub repository includes slides, materials, and guidance on training frameworks and community building across data networks.

Highlights - Training program structure and facilitator guidance
- Teaching methods and train-the-trainer resources from the original initiative
- Served as an early model for open-network skill-building programs like the OHDSI Train-the-Trainer series

Access: github.com/TrainTheTrainer/ELIXIR-EXCELERATE-TtT →

OHDSI YouTube Channel

The official OHDSI YouTube Channel hosts tutorials, community calls, symposium sessions, and lightning talks.

Highlights - Weekly community calls and global symposium presentations
- Deep dives into the OMOP CDM, Atlas, HADES, and data quality tools
- Great for visual learners and staying up to date with OHDSI developments

Access: youtube.com/@OHDSI →

Technical & GitHub Resources

Tools, repositories, and documentation for developers and data engineers.

Oncology-Specific Resources

Key Publications

  • Belenkaya R, Gurley MJ, Golozar A, Dymshyts D, Miller RT, Williams AE, Ratwani S, Siapos A, Korsik V, Warner J, Campbell WS, Rivera D, Banokina T, Modina E, Bethusamy S, Stewart HM, Patel M, Chen R, Falconer T, Park RW, You SC, Jeon H, Shin SJ, Reich C. (2021). Extending the OMOP Common Data Model and Standardized Vocabularies to Support Observational Cancer Research. JCO Clin Cancer Inform. 5:12–20. doi:10.1200/CCI.20.00079. PMID: 33411620; PMCID: PMC8140810

  • Wang L, Wen A, Fu S, Ruan X, Huang M, Li R, Lu Q, Lyu H, Williams AE, Liu H. (2025). A Scoping Review of OMOP CDM Adoption for Cancer Research Using Real-World Data. NPJ Digit Med. 8(1):189. doi:10.1038/s41746-025-01581-7. PMID: 40189628; PMCID: PMC11973147

Oncology Workgroup & Repositories

Talks & Tutorials

  • Rimma Belenkaya – OMOP Cancer Model: Making the OMOP Common Data Model Fit for Cancer Research (OHDSI 2020 Lightning Talk)
    Watch on YouTube

  • Asieh Golozar – Ensuring Data Fitness for Oncology Research (OHDSI Community Call, March 25, 2025)
    Recording | Slides (PDF)

  • Asieh Golozar – Detailed Cancer-Specific Analytics in the Remote OHDSI Network Settings (OHDSI 2020 Lightning Talk)
    Watch on YouTube

  • Asieh Golozar – Large-Scale Observational Cancer Research Informatics Grand Rounds (JHU BIDS, 10/13/22)
    Recording

Trainers: Customize this page with site-specific references, URLs, and internal data access resources as needed. Include institutional VPNs, intranet documentation, or Teams/Slack channels for communication.

Train-the-Trainer downloads

All materials below are ALS TDI branded and live in this repository so they travel together. Please keep the template with these materials rather than sharing it on its own.

Feasibility First

Slide template

Sample notebooks (Colab ready, synthetic data, no credentials)

  • Day 1, OMOP CDM and vocabularies: download
  • Day 2, concept sets and data quality: download
  • Day 3, cohort building: download
  • Day 5, treatment pathways: download
  • Day 6, patient-level prediction: download

Day 3, cohort definitions

Day 5, treatment pathways kit

Day 6, advanced analytics with HADES kit

The large lecture decks (Day 1 to Day 6 full slide sets) are hosted separately in Google Drive because of their size, and linked from there.