Overview
The wealth of data available from sensors, satellites and Internet services has created a glut of information that is often too vast for a researcher to adequately capture or comprehend in a simplistic data model. Multidisciplinary research that uses environmental data—such as research on the impacts of climate change—requires scientists to be able to connect disparate datasets in order to see the big picture, and they can ill afford the time and resources required to create these interconnections in a project-by-project, ad hoc manner.
Capturing and disseminating varied data efficiently so it is easily usable by researchers requires a range of expertise, from deploying sensors in the field to managing real-time data to developing nuanced database architectures.The RENCI Sensor Data Bus project builds on RENCI’s lessons learned from prior projects designed to capture, aggregate and disseminate environmental data to build a unique data framework that brings together and organizes disparate environmental sensor information and disseminates it to the research community.
SDB aggregates sensor data on precipitation, flooding, winds and other weather phenomena and provides interfaces and open-standard Web services that promote data interoperability, platform independence and robust delivery methods for all kinds of spatiotemporal data.
The SDB implements open standards using advanced and emerging features of the Microsoft platform. RENCI-provided open source license services include the following:
- .NET class library and web service implementation of the Open Geospatial Consortium (OGC)
- Environmental Database model (EnviroDB) for capturing spatiotemporal data of point, trajectory and coverage types
- WaterML (WaterOneFlow) web services
- SOAP and RESTful services
- Data mining and analysis services for EnviroDB repositories
- Web user interfaces for EnviroDB repositories
- Sensor data management and hosting for scientific collaborations
Overview
The wealth of data available from sensors, satellites and Internet services has created a glut of information that is often too vast for a researcher to adequately capture or comprehend in a simplistic data model. Multidisciplinary research that uses environmental data—such as research on the impacts of climate change—requires scientists to be able to connect disparate datasets in order to see the big picture, and they can ill afford the time and resources required to create these interconnections in a project-by-project, ad hoc manner.
Capturing and disseminating varied data efficiently so it is easily usable by researchers requires a range of expertise, from deploying sensors in the field to managing real-time data to developing nuanced database architectures.The RENCI Sensor Data Bus project builds on RENCI’s lessons learned from prior projects designed to capture, aggregate and disseminate environmental data to build a unique data framework that brings together and organizes disparate environmental sensor information and disseminates it to the research community.
SDB aggregates sensor data on precipitation, flooding, winds and other weather phenomena and provides interfaces and open-standard Web services that promote data interoperability, platform independence and robust delivery methods for all kinds of spatiotemporal data.
The SDB implements open standards using advanced and emerging features of the Microsoft platform. RENCI-provided open source license services include the following:
- .NET class library and web service implementation of the Open Geospatial Consortium (OGC)
- Environmental Database model (EnviroDB) for capturing spatiotemporal data of point, trajectory and coverage types
- WaterML (WaterOneFlow) web services
- SOAP and RESTful services
- Data mining and analysis services for EnviroDB repositories
- Web user interfaces for EnviroDB repositories
- Sensor data management and hosting for scientific collaborations
Project Team
John McGee, project leader
Vijay Dantuluri
Oleg Kapeljushnik
Michael Stealey
Partners
Microsoft Research
North Carolina State Climate Office (SCO)
San Diego Supercomputer Center (SDSC)
University of South Carolina
Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI)
More Information
Sensor Data Bus
