Data, statistical models and inferential procedures permeate CENS research, from the four founding scientific application areas to the more recent urban sensing campaigns and “n-of-one” personal data collection exercises. In addition to our collaborative work with application scientists, we also focus on three cross-cutting activities: (1) General statistical models for embedded sensing, with specific applications to data quality and continuous sampling, (2) Significant CENS-designed and supported databases and repositories, and (3) Studies into the data lifecycle for embedded sensing systems. On their own, these three tell a story of data sharing and reuse, of application-driven system design, and of the multiple levels of analysis that take place simultaneously in an interdisciplinary center like CENS.

2008 - 2009

Statistics and Data Practices (SDP) Summary

Statistics and Data Practices (SDP) Research Projects:

• SDP 01 - Anomaly Detection
• SDP 02 - Towards a Virtual Organization for Data Cyberinfrastructure
• SDP 03 - CENS Deployment Center (CENSDC)
• SDP 04 - Monitoring, Modeling, & Memory: Dynamics of Data and Knowledge in Scientific Cyberinfrastructure
• SDP 05 - eScholarship Repository
• SDP 06 - Handheld application for mobile data collection in the field
• SDP 07 - Object Reuse and Exchange; RDF data modeling
• SDP 08 - Data integrity for TEOS
• SDP 09 - Unblinking: Continuous Sensing and its Implications for Modeling Uncertain Environmental Phenomena with Latent Geometric Structure
• SDP 10 - Sensorbase: A Story in Three Parts

Full SDP report including all projects