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Research

HDDA: DataSifter: statistical obfuscation of electronic health records and other sensitive datasets

Title HDDA: DataSifter: statistical obfuscation of electronic health records and other sensitive datasets Publication Journal of Statistical Computation and Simulation Date 11 Nov. 2018 DOI https://doi.org/10.1080/00949655.2018.1545228 Authors Simeone Marino, Nina Zhou, Yi Zhao, Lu Wang, Qiucheng Wu & Ivo D. Dinov (2019) Abstract There are no practical and effective mechanisms to share high-dimensional data including sensitive ...

General Interest / News

Environmental Data Commons Workshop — June 9, Chicago

The Center for Data Intensive Science at the University of Chicago is hosting a one day workshop in Chicago on June 9, 2016 on environmental data commons and data sharing. There will be sessions on the environmental commons, services for environmental commons, environmental data commons applications, the NOAA Big Data Alliance, and interoperability of environmental ...