# OHDSI/CommonDataModel

Definition and DDLs for the OMOP Common Data Model (CDM)

Repository: https://github.com/OHDSI/CommonDataModel
Canonical: https://ross.abutalabs.com/products/commondatamodel
Homepage: https://ohdsi.github.io/CommonDataModel
Language: HTML
License Family: other
Last push: 2026-08-25T17:22:48+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 67, longevity 100
- inputs: {"age_days": 4341, "days_push": 8, "days_rel": 8, "gap_med": 346.0, "n_releases_24m": 3}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1077, forks 505 (observed 2026-08-28T04:03:29.713737+00:00)

## What it is
An R package and repository defining the OMOP Common Data Model (CDM), providing SQL DDL scripts and tools to generate or instantiate CDM tables across multiple database dialects. It standardizes the structure of observational health data for use with the OHDSI analytics ecosystem.

## Use cases
- set up an OMOP CDM database in PostgreSQL
- generate DDL scripts for the OMOP common data model
- standardize observational health data for research
- create CDM 5.5 tables in SQL Server or Redshift
- instantiate OMOP CDM schema from R
- prepare a database for OHDSI Hades analytics tools

## When to choose
- you need to implement the OMOP CDM in a supported SQL dialect
- you are building an OHDSI-based observational research pipeline
- you want standardized DDL, primary keys, foreign keys, and indexes for the CDM

## When to avoid
- you need a general-purpose ETL tool for non-OMOP data
- you want to transform source data into the CDM rather than create its structure
- your database dialect is not among the supported ones

## Facets
- artifact type: library
- maturity: active
- function: database, data-science, etl
- domain: healthcare, databases
- platform: python, cross-platform, cloud, self-hosted
- tags: omop-cdm, ohdsi, observational-health-data, ddl-generation, r-package, sql, clinical-research, data-standard, data-engineering

## Member repositories
- OHDSI/CommonDataModel (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:29.713737+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:53:13.111710+00:00, confidence not recorded.
  - readme: https://github.com/OHDSI/CommonDataModel (fetched 2026-08-28T04:03:29.713737+00:00, sha 9e56f10589f3)
  - homepage: https://ohdsi.github.io/CommonDataModel (fetched 2026-08-29T12:54:20.108285+00:00, sha 38c9e8bc5df0)
- Data as of 2026-08-30T08:39:29.467469+00:00.