At a glance
The essential OMOP / OHDSI shelf.
Not whatever is newest — the things worth knowing. Foundational publications, protocols, documentation, videos, and grey literature, curated for people entering the OHDSI maternal & child health space.
Publications
Foundational reading
- Paper
The Book of OHDSI
The community reference. Start here even if you read nothing else.
- Paper
OHDSI foundational methods papers (JAMIA)
Key methodological papers on population-level effect estimation and patient-level prediction.
- Search
OHDSI Community Intelligence Platform
Search the community's full corpus — articles, videos, repositories, discussions, and documentation with relevance scoring. Try the maternal, pregnancy, or pediatric keywords to surface MCH-relevant work.
In progress: pulling the maternal-filtered results from the OHDSI dashboard (dash.ohdsi.org) into this shelf. To do that automatically I need to see how the dashboard stores/serves its content — re-upload the CommunityDashboard repo (it didn't come through last time) or export the maternal results as CSV, and I'll curate the top items here.
Protocols & study packages
Protocols worth studying
- Protocol
OHDSI Studies (GitHub org)
Public network-study protocols and code — a model for how OHDSI studies are structured and shared.
Send me: any specific protocols or study packages you want featured (yours or the community's). Also share the OMOP dashboard link you mentioned so I can pull anything interesting from it into this shelf.
Watch
Videos worth an hour
- Channel
OHDSI on YouTube
Community calls, tutorials, and symposium talks.
- Channel
Dr. Danielle the Data Diva
Plain-language explainers of OMOP and observational research.
Send me: the specific talks/videos you want to spotlight (yours + OHDSI), and I'll pin them with descriptions.
Documentation
Reference you'll return to
- Docs
OMOP CDM specification
The canonical table/field reference.
- Docs
ATHENA vocabularies
Download and browse the OMOP standardized vocabularies.
- Docs
OHDSI software tools
The full open-source stack for building and running observational studies.