Map clinical, sample, and molecular sources into reusable concepts while preserving the study context researchers need.
- Ontology-led organization
- Cross-study concepts
- Structured ETL workflows
Biomedical data infrastructureCommunity governedOpen by design
The Transmart Project / Research intelligence
Turn complex data
into shared discovery.
Unifying clinical observations, molecular evidence, and research context so teams can ask better questions—together.
↓01Integrate
Bring heterogeneous biomedical sources into a coherent research view.
02Explore
Move from cohort questions to patterns without losing context.
03Collaborate
Build on open infrastructure shaped by a global community.
Why it matters
Research data is abundant.
Useful connections are not.
Transmart exists to close the distance between the laboratory, the clinic, and the questions that lead to better care.
By organizing diverse study information around shared concepts, the platform helps research teams compare cohorts, explore signals, and make knowledge easier to reuse across disciplines.
See the research pathways →
Clinical dataOmicsPhenotypesCohortsOpen APIsEvidence
Inside the platform
One research layer.
Many ways to ask.
A modular environment for harmonizing data, defining cohorts, and exploring relationships across studies.
View documentation ↗Define patient populations using transparent criteria and rapidly test how research questions behave across available data.
- Dynamic cohort building
- Study comparison
- Longitudinal context
Investigate distributions, biomarkers, and clinical characteristics before moving promising signals into deeper analytical tools.
- Interactive summaries
- High-dimensional data
- Export-ready results
Connect institutional workflows through open interfaces, shared standards, and community-developed components.
- Open-source foundation
- API access
- Community roadmap
Field note / 01
“Discovery accelerates when data becomes legible beyond the team that created it.”
Interoperability is not only a technical problem. It is a shared language for questions, evidence, and responsible reuse.
Research pathways
Built around the
questions teams ask.
From early cohort exploration to cross-study investigation, Transmart supports workflows where data must remain interpretable, traceable, and ready for collaboration.
Connect phenotype and molecular context.
Explore patient characteristics alongside biomarkers to identify patterns worth testing.
Explore pathway ↗Understand cohorts before analysis begins.
Test inclusion logic, compare populations, and make study assumptions visible.
Explore pathway ↗Create a common layer across institutions.
Harmonize concepts while respecting local governance and research context.
Explore pathway ↗Open community
Science moves
further in company.
Transmart is sustained by people who implement, test, document, question, and improve open research infrastructure.
Project intelligence