Center for Translational Data Science

Pioneering translational data science to accelerate discoveries in biology, medicine, and the environment.

General Information
Company Name
Center for Translational Data Science
Founded Year
1890
Location (Offices)
Chicago, United States +1
Founders / Decision Makers
Number of Employees
46
Industries
Analytics, Education
Funding Stage
-
Social Media

Center for Translational Data Science - Company Profile

The **Center for Translational Data Science** is pioneering the field of translational data science to accelerate discoveries in biology, medicine, and the environment. Based in Chicago, this innovative institution, founded in **1890**, is at the forefront of developing and operating large-scale data platforms to support research in areas of societal interest, such as cancer, cardiovascular disease, inflammatory bowel disease (IBD), birth defects, veterans’ health, pain management, opioid use disorder, and environmental science. The center has achieved several significant milestones, including the establishment of the **NSF supported Open Science Data Cloud (2010-2016)**, the **Bionimbus Protected Data Cloud, approved as an NIH Trusted Partner (2013-present)**, the **NCI Genomic Data Commons (2016-present)**, and the **Data Commons Frameworks Services (2020-present)**. Currently, in collaboration with partners, it operates a data ecosystem consisting of over a dozen data commons, offering access to more than 10 PB of data related to over 600,000 patients. Notably, this is all facilitated by the open-source Gen3 data platform, comprising the Gen3 data commons, Gen3 Framework Services, and Gen3 Workspaces, which ensures secure and compliant access to the data while safeguarding patient privacy. Combining expertise in data science, biology, medicine, and environmental research, the **Center for Translational Data Science** presents an unprecedented opportunity for investment in the Analytics and Education industries. With its commitment to addressing critical real-world challenges and its global network of collaborators, it represents a promising investment prospect for venture capitalists seeking to engage with cutting-edge data science applications in solving pressing societal issues.

Taxonomy: Translational Data Science, Data Platforms, Biomedical Data, AI Algorithms, Large-Scale Data, Data Clouds, Genomic Data, Data Commons, Patient Privacy, Collaborative Research, Environmental Science, Research Community

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