AACR Project GENIE Data Model (GDM), developed by the AACR Project GENIE® consortium, is an open-source, pan-cancer framework that standardizes longitudinal clinico-genomic data from diagnosis through long-term outcomes. The complete model specifications, value sets, and supporting documentation are publicly available on GitHub (CC-NC-SA license). Data elements can be mapped to established terminologies (SNOMED CT, LOINC, ICD-O, NCIt) and aligned with HL7 FHIR and OMOP CDM structures. A dual-pathway architecture supports both manual abstraction and programmatic collection, preserving data provenance while positioning the model for emerging NLP and automation capabilities.
AACR Project GENIE Data Model © 2026 by AACR is licensed under CC BY-NC-SA 4.0
Core Components of the AACR Project GENIE Data Model
Access the AACR Project GENIE Data Model on Github
- Data Dictionary
- REDCap eCRF / project XML file
- Logical Model
- Curation Directives
Person
- Demographics
- Social Determinants of Health (SDOH)
- Comorbidities
Treatment
- Longitudinal treatment history including:
- anti-neoplastic therapies
- detailed surgical procedures
- radiation treatment
Diagnosis
- Cancer Diagnosis
- Staging
- Histology
- Cancer-specific Biomarkers
Outcomes
- The AACR Project GENIE Data Model (GDM) allows for calculation of outcomes such as:
- Overall survival
- Progression-free survival
- Additional response metrics