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Oncology Data Alliance
FAIR, Harmonized Oncology Data to Accelerate Discovery
A pre-competitive collaboration bringing together life sciences organizations
to create high-quality, harmonized, analysis-ready oncology datasets.
Turning Public Oncology Data Into Trusted Insight
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Public oncology datasets hold enormous scientific value, but differences in processing pipelines, inconsistent metadata standards, and batch effects make cross-study analysis difficult and costly.
The Oncology Data Alliance, led by Rancho BioSciences, addresses this by bringing organizations together in a pre-competitive collaboration to build a unified, FAIR, and consistently processed oncology data foundation. By harmonizing data from leading public repositories into a shared oncology data model, the Alliance enables more reliable discovery, translational research, biomarker development, and AI-driven analysis.
Members gain permanent access to fully harmonized, ontology-aligned, reusable oncology datasets without subscription fees, supporting teams across research, data science, and precision medicine.
Alliance Scope
Bulk RNA-seq and array-based datasets- Harmonized tumor-type collections
- Standardized pipelines with complete QC
- Aligned feature matrices across modalities
- Integrated multi-omics views
- Consistent, harmonized metadata
- Mutation and copy-number profiles
- DNA methylation arrays
- RPPA and proteomics datasets
- Benchmark datasets for predictive & generative AI
- Multimodal feature stores
- Foundation-model-ready corpora
All components evolve continuously, with new data types added based on member priorities and scientific need.
Benefits of Membership
Pre-Competitive. Member-Governed. No Subscriptions.
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Members Benefits
- Immediate access to curated, harmonized oncology datasets
- The ability to nominate tumor types and datasets for inclusion
- Participation in a pre-competitive scientific collaboration
- Permanent ownership of all delivered data
- Early access to new data types and future expansions
- Collaboration with peers facing similar oncology data challenges
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Members Receive
- Fully harmonized, FAIR-aligned oncology datasets
- Standardized processing pipelines and QC reports
- Tumor-specific dataset packages ready for analysis
- Complete metadata, lineage, and provenance documentation
- Ongoing access to newly added datasets during the active phase
- Data assets designed for reuse, integration, and AI modeling
Accelerate Oncology Discovery With Harmonized, FAIR, AI-Ready Data
Whether you need data strategy, expert curation, bioinformatics support, or AI-ready datasets, our scientists help teams move from complexity to clarity and from insight to impact.
