White House Office of Science and Technology Policy
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Cal INDEX and Inland Empire HIE Will Merge to Form California's Largest Health Information Exchange
The California Integrated Data Exchange (Cal INDEX) and Inland Empire Health Information Exchange (IEHIE) today announced a planned merger that will create one of the nation's most comprehensive nonprofit health information exchanges (HIEs). Claudia Williams, former White House technology senior advisor, will lead the new organization as CEO, effective February 1, 2017. The merger, subject to regulatory approvals, is expected to be completed in the first quarter of 2017 and will operate as a tax-exempt public benefit corporation under a new name...
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Hortonworks Initiates Precision Medicine Consortium to Explore Next Generation Genomics Open Source Platform
Hortonworks, Inc., a leading innovator of open and connected data platforms, today announced the formation of a new consortium to define and develop an open source genomics platform to accelerate genomics-based precision medicine in research and clinical care. Other founding members include Arizona State University, Baylor College of Medicine, Booz Allen Hamilton, Mayo Clinic, OneOme and Yale New Haven Health...
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Latest news on White House 'Open Access' petition
A petition urging the White House to expand federal policies requiring free access to taxpayer-funded research papers has gotten the 25,000 signatures needed to trigger a response. Read More »
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White House Call to Action to the Tech Community on New Open Access Machine Readable COVID-19 Dataset
Today, researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative (CZI), Georgetown University's Center for Security and Emerging Technology (CSET), Microsoft, and the National Library of Medicine (NLM) at the National Institutes of Health released the COVID-19 Open Research Dataset (CORD-19) of scholarly literature about COVID-19, SARS-CoV-2, and the Coronavirus group. Requested by The White House Office of Science and Technology Policy, the dataset represents the most extensive machine-readable Coronavirus literature collection available for data and text mining to date, with over 29,000 articles, more than 13,000 of which have full text.
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