Center for Translational Data Science

What Center for Translational Data Science does

The Center for Translational Data Science (CTDS) is a university research center within the University of Chicago's Biological Sciences Division that develops and operates open-source biomedical data infrastructure. Its core product is the Gen3 platform, an open-source data commons software stack comprising Gen3 Data Commons (co-locates data, storage, and compute with analytic tools), Gen3 Framework Services (creates interoperable data ecosystems and meshes), and Gen3 Workspaces (secure, compliant cloud analysis environments supporting Python, R, and Stata). CTDS claims several industry firsts: the first large-scale data cloud (NSF Open Science Data Cloud, 2010), the first NIH Trusted Partner biomedical data cloud (Bionimbus, 2013), the first large-scale data commons (NCI Genomic Data Commons, 2016), and the first data mesh services for biomedical research (2020).

CTDS serves academic and government biomedical researchers globally — including cancer genomics, opioid and addiction research, cardiovascular and pulmonary disease, pediatric oncology, and veterans' health — through flagship platforms such as the NCI Genomic Data Commons (used by more than 100,000 researchers monthly), the NIH HEAL Data Platform, BioData Catalyst, the Biomedical Research Hub, and the BloodPAC and Kids First data commons. Collectively these platforms host 17 data commons and meshes containing over 27 PB of data from approximately 2.4 million patients.

The center operates as a non-commercial academic unit, funded primarily through federal research grants from the NIH and NSF, with platforms provided to the research community at no cost. Leadership is anchored by Director Robert L. Grossman (ACM Fellow, AAAS Fellow, Sigma Xi Fellow), and the M3 Initiative extends CTDS's mandate into developing midscale AI models for biomedical research in resource-limited environments.

Name

Center for Translational Data Science

Legal name

Center for Translational Data Science

Website

https://ctds.uchicago.edu

Company type

Private

Founded year

1890

Operating status

Operating

Headcount range

5,001–10,000 employees

Short description

University of Chicago research center developing the open-source Gen3 data platform and operating 17 biomedical data commons and meshes with 27+ PB of data, serving academic and government biomedical researchers worldwide through NIH- and NSF-funded infrastructure.

Ownership category

akta.pro rank

Product category

Biomedical Data Platform

NAICS

Research and Development in the Physical, Engineering, and Life Sciences (54171), Research and Development in Biotechnology (except Nanobiotechnology) (541714), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374), Services-Commercial Physical & Biological Research (8731)

akta.pro primary industry

Scientific Data Management & Data Platforms (SDMS/Data Lakehouse for R&D) (HLAGAJAC)

akta.pro secondary industries

Real-World Data (RWD) Platforms & Clinical Data Curation (HLACAIAJ), FHIR/HL7 Data Repositories & Canonical Data Models (HLACAIAI)

Keywords

• Biomedical data commons
• Open-source data platform
• Genomic data sharing
• Clinical data infrastructure
• Translational research software

Headquarters

HQ city

Chicago

HQ country

United States

HQ region

North America

Offices3 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Operations

Revenue model

1. Federal Research Funding: CTDS operates as a university research center primarily funded by federal agencies including the National Institutes of Health (NIH) and National Science Foundation (NSF). The center develops and operates data platforms that support research in cancer, cardiovascular disease, and other areas of biomedical importance.
2. Grant Funding: The center's annual report and publications indicate significant NIH and NSF funding support for various research projects and data platform development.

Go-to-market motion2 records

Distribution channels2 records

Marketing channels6 records

Core offering

Center for Translational Data Science (CTDS) at the University of Chicago develops and operates the open-source Gen3 data platform, which powers a network of 17 biomedical data commons and meshes. The platform enables researchers to manage, harmonize, analyze, and share large-scale genomic, clinical, and multi-omics datasets in secure cloud-based workspaces. Major Gen3-powered deployments include the NCI Genomic Data Commons, the HEAL Data Platform, and the Biomedical Research Hub, collectively serving over 100,000 researchers monthly with more than 27 PB of data.

Product overview

The Center for Translational Data Science operates a data ecosystem comprising 17 data commons and meshes that make over 27 PB of data available to the research community. The core offering is the open-source Gen3 data platform, which includes Gen3 Data Commons (for co-locating data with analysis tools), Gen3 Framework Services (for creating data ecosystems and meshes), and Gen3 Workspaces (secure cloud-based analysis environments). Major platforms built on Gen3 include the National Cancer Institute Genomic Data Commons (GDC) serving over 100,000 monthly researchers, the HEAL Data Platform for opioid research, and the Biomedical Research Hub. The M3 Initiative focuses on developing midscale AI models for biomedical research.

Differentiator

Problem solved

Functional benefit

Brands

• Gen3: An open-source data platform software developed by CTDS that includes Gen3 data commons, Gen3 Framework Services, and Gen3 Workspaces for managing, analyzing, and sharing large biomedical datasets in the cloud.
• M3 Initiative
• Data Commons

Products and services

• Gen3 Data Commons
• Gen3 Framework Services
• Gen3 Workspaces
• National Cancer Institute Genomic Data Commons (GDC)
• HEAL Data Platform
• Biomedical Research Hub
• M3 Initiative (Meshes of Midscale Models)

Quantifiable outcome

• 27 PB of data available to research community
• +3 more outcomes

Named customers6 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability9 records

Feature6 records

Partnerships

Ten partnerships are on record, tiered minor and core.

• NOAA Scientific Advisory BoardminorStrategic or Co-development Partner · 1 January 2017Robert L. Grossman served as a member of the NOAA Scientific Advisory Board from 2017-2024, providing expertise on data science applications for environmental research.
• National Cancer Institute (NCI)coreTechnology or Integration · 1 January 2016CTDS develops and operates the National Cancer Institute's Genomic Data Commons (GDC), a platform for the cancer research community that manages, analyzes, integrates, and shares large-scale genomic datasets in support of precision medicine. The GDC is used by more than 100,000 researchers each month. This is a core partnership for CTDS operations.
• Frederick National Laboratory Advisory Committee (FNLAC)minorStrategic or Co-development Partner · 1 January 2014Robert L. Grossman served as a member of the Frederick National Laboratory Advisory Committee from 2014-2021, providing guidance on national cancer research infrastructure.
• NIH Helping to End Addiction Long-term (HEAL) InitiativecoreTechnology or IntegrationCTDS hosts the HEAL Data Platform (HDP), a Gen3 data mesh providing access to data from studies funded by NIH's HEAL Initiative. The platform allows researchers to search for and discover datasets, and analyze data in cloud-based workspaces supporting Stata, R, and Python.
• Open Commons Consortium (OCC)coreStrategic or Co-development PartnerRobert L. Grossman serves as a Director of the Open Commons Consortium, which is a not-for-profit that manages and operates data commons and data meshes to advance scientific and biomedical research.
• Analytic Strategy PartnersminorStrategic or Co-development PartnerRobert L. Grossman is the founder and a partner at Analytic Strategy Partners, which helps companies develop AI strategies.
• Google Summer of CodeminorStrategic or Co-development PartnerCTDS participates in Google Summer of Code as a mentor organization. During this 12+ week program, accepted contributors work alongside mentors coding on projects broadly focused on supporting translational research around biomedical data, including FHIR standards, graph databases, large data downloads, cloud infrastructure monitoring, and GPU cluster orchestration.
• GA4GH (Global Alliance for Genomics and Health)coreStrategic or Co-development PartnerGA4GH has named the Biomedical Research Hub (a CTDS-operated data mesh) as one of ten genomic data initiatives with clinical connections as its Driver Projects. This collaboration allows genomic data standards to make new inroads into medicine and biomedical research.
• Data Science Institute at University of ChicagocoreStrategic or Co-development PartnerCTDS and the Data Science Institute jointly host workshops and initiatives including the M3 Workshop on AI in biomedical research, combining computational and biomedical expertise.
• Department of Computer Science at University of ChicagocoreStrategic or Co-development PartnerCollaboration on the M3 (Meshes of Midscale Models) Initiative to address challenges in applying AI to biology, medicine, and healthcare, integrating expertise in computer science and machine learning.

Scale indicators5 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Sage Bionetworks: Non-profit that operates open biomedical data platforms (e.g., Synapse, AD Knowledge Portal) and coordinates large-scale research consortia. Directly comparable as a non-academic entity building data commons infrastructure for community-driven biomedical research.
• DNAnexus: Commercial cloud platform for genomic and biomedical data management and analysis, serving NIH programs and pharma customers. Directly competes with Gen3 as a managed alternative for hosting large-scale genomic datasets.
• Terra (Broad Institute / Verily): Cloud-based biomedical data analysis platform co-developed by the Broad Institute and Verily, providing workspaces for genomic and clinical data. Direct competitor in the secure-workspace-for-biomedical-research segment.
• Velsera (formerly Seven Bridges): Biomedical data analysis platform supporting NIH programs including the NCI Cancer Research Data Commons. Operates in the same ecosystem as CTDS, often alongside it on federally funded data commons.

Regional players

• Globus (University of Chicago / Argonne): Data management and transfer service widely used in academic and scientific computing, originating from the same University of Chicago ecosystem as CTDS. Comparable as research data infrastructure with overlapping user communities.

Others

• Open Commons Consortium: Not-for-profit that manages and operates data commons, with Robert L. Grossman as a Director. Directly affiliated with CTDS through shared governance and Gen3 stewardship; effectively the hosting entity for CTDS's open-source assets.

Broad incumbents

• Palantir Foundry: Enterprise data platform with deployments in biomedical and government research contexts (e.g., NIH, NHS). Competes for large-scale biomedical data integration workloads but from a broad horizontal-platform posture rather than a niche biomedical focus.
• UCSC Genome Browser / UCSC Genomics Institute: Long-standing academic genomics data platform and visualization resource for the research community. Comparable as a foundational open biomedical data resource serving large user bases, though narrower in scope.
• EMBL-EBI (European Bioinformatics Institute): International bioinformatics institute operating large-scale life-science data resources (Ensembl, ENA, ArrayExpress). Highly comparable mission and operating model to CTDS, but Europe-based and broader in scope.

Emerging players

• Rosalind (Rosalind.io): Cloud-based collaborative platform for genomics data analysis and interpretation. Emerging player in the same biomedical data-analysis workspace category, with narrower focus on bench-to-cloud workflows.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/UChicagoCTDS

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Center for Translational Data Science