Published July 17, 2022 | Version 1.0

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

  • 1. University of Pennsylvania
  • 2. University of Memphis
  • 3. UCLA
  • 4. UCSF
  • 1. University of Memphis
  • 2. UCLA
  • 3. University of Pennsylvania
  • 4. UCSF

Description

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.

Files

mProv Poster 2022.pdf

Files (3.5 MB)

Name Size Download all
md5:f555cb3f03a438f45d28cac5933234ff
3.5 MB Preview Download