Center For Translational Data Science
Research, 2677 Prosperity Ave, Chicago, Illinois, 22031, United States, 51-200 Employees
Phone Number: +13*********
Who is CENTER FOR TRANSLATIONAL DATA SCIENCE
The Center for Translational Data Science at the University of Chicago is developing the discipline of data science and its applications to address problems in biology, medicine, healthca...
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- Headquarters: 2677 Prosperity Ave, Chicago, Illinois, 22031, United States
- Date Founded: 1890
- Employees: 51-200
- Revenue: $50 Million to $100 Million
- Active Tech Stack: See technologies
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Frequently Asked Questions Regarding Center for Translational Data Science
Answer: Center for Translational Data Science's headquarters are located at 2677 Prosperity Ave, Chicago, Illinois, 22031, United States
Answer: Center for Translational Data Science's phone number is +13*********
Answer: Center for Translational Data Science's official website is https://ctds.uchicago.edu
Answer: Center for Translational Data Science's revenue is $50 Million to $100 Million
Answer: Center for Translational Data Science's SIC: 7349; 7371; 7379
Answer: Center for Translational Data Science's NAICS: 541512
Answer: Center for Translational Data Science has 51-200 employees
Answer: Center for Translational Data Science is in Research
Answer: Center for Translational Data Science contact info: Phone number: +13********* Website: https://ctds.uchicago.edu
Answer: The Center for Translational Data Science at the University of Chicago is developing the discipline of data science and its applications to address problems in biology, medicine, healthcare and the environment. We develop and operate large scale data platforms to support research in topics of societal interest, including cancer, cardiovascular disease, inflammatory bowel disease (IBD), birth defects, veterans health, pain management, opioid use disorder, and environmental science. We also develop new machine learning and AI algorithms over the data in our platforms. Our center has developed a number of important firsts: including, one of the first large scale data clouds (the NSF supported Open Science Data Cloud (2010-2016)); the first data cloud designed to host biomedical data and approved as a NIH Trusted Partner (the Bionimbus Protected Data Cloud (2013-present)); the first large scale data commons (the NCI Genomic Data Commons (2016-present)); and the first set of services to create data ecosystems for biomedical data (Data Commons Frameworks Services (2020-present)). Today with our partners, we operate a data ecosystem compromising over a dozen data commons that make over 10 PB of data available to the research community about over 600,000 patients. We provide access to this data via secure and compliant workspaces, while protecting patient privacy. These are all based on the open source Gen3 data platform, that includes the Gen3 data commons, Gen3 Framework Services, and Gen3 Workspaces. We are based in Chicago, but our work engages collaborators from across the world.
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