mProv: Provenance-Based Data Analytics Cyberinfrastructure for High-Frequency Mobile Sensor Data

mProv develops standards, libraries, and compressed storage/query services to capture fine-grained data provenance over streaming data -- with applications in mobile health sensors and more. Among other capabilities, our infrastructure facilitates reasoning about data quality, enforcing privacy filter conditions, and high-fidelity sensor data stream replay.

Related Organizations

University of California, San Francisco
United States
University of Memphis
United States
University of California, Los Angeles
United States
University of Pennsylvania
United States

Keywords

provenance streams mobile health iot

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