Sharing SRP RTC Water Sample Data Using CUAHSI HIS Infrastructure
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Sharing SRP RTC Water Sample Data Using CUAHSI HIS Infrastructure Ilya Zaslavsky, Thomas Whitenack, Keith Pezzoli, Hiram Sarabia University of California at San Diego, San Diego, CA, USA About CUAHSI Links Publishing SRP water sample data Deployment Service oriented architecture for sharing water data The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is an organization representing 120+ universities in the US and 11 international affiliates. As CUAHSI member universities in the US CUAHSI HIS develops service-oriented architecture for hydrologic research and education, to enable publication, discovery, retrieval, analysis and integration of hydrologic data. The project team has defined a common information model for organizing hydrologic observation data, designed a common exchange protocol (Water Markup Language), created a collection of SOAP web services (WaterOneFlow services) that provide uniform access to different federal, state and local hydrologic data repositories, and developed mechanisms for ontology-based data registration and discovery. Rainfa ll & Snow Water quantity and quality Remote sensing Meteorolo gy Soil water End-to-end three-tier solution: from publication and registration to discovery and analysis of hydrologic observation data HIS Central This system is implemented as a collection of HIS Servers deployed at NSF-supported Hydrologic Observatory test beds across the nation. Several HIS Server are deployed at other partner universities and agencies, and CUAHSI HIS supports data publication workflow for hydrologic observations. The steps include: • Loading data into ODM instance and configuring a Generic ODM web service providing access to the data (typical for relatively small academic projects) OR Configuring a custom WaterML-compliant web service and assembling a source metadata catalog (typical for large remote repositories) • Registering the new water data service at a local HIS Server (to be accessible via DASH, Data Access System for Hydrology), AND/OR Registering the service at the HIS Central, a web application for managing and exploring WaterML-compliant services. By indexing both government and academic water data services, HISCentral provides a gateway to the largest collection of water observations in the nation. Once a new water data service is registered, tested and described at HISCentral, an HISCentral’s harvester retrieves site and variable metadata, and the data series information. Regist er servic e Upload icons, add metada ta Service is harveste d Tag variab les with ontolo gy concep ts Data is availabl e in Hydrosee k and in DASH Adding a water data service to the integrated metadata catalog The next step is tagging the harvested variables using CUAHSI ontology concepts, and making the new water data service appear in Hydroseek, a web application for ontology-based and map-based search and retrieval of hydrologic data from multiple networks. The service may be also shown in DASH: Data Access System for Hydrology This pilot implementation integrates water sample data collected by SBRP programs at UCSD and UA. UCSD UA Test Servic e UCSD SBRP data for San Diego, available in DASH along with water quality data from USGS, EPA, and other local sources UCSD Superfund Research Program: http:// superfund.sdsc.edu/index.php HIS Central: http:// hiscentral.cuahsi.org/ CUAHSI HIS: http://his.cuahsi.org Hydroseek: http:// www.hydroseek.net HIS Wiki @ SDSC : http:// river.sdsc.edu/wiki Mailing list: subscribe at part of its mission, CUAHSI supports the development of cyberinfrastructure for the hydrologic sciences. The CUAHSI HIS (Hydrologic Information System) project is a multi-year multi- institution effort focused on consistent management and integration of observational data available from several federal agencies (USGS, EPA, USDA, NOAA, etc.) as well as published by academic investigators.
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Sharing SRP RTC Water Sample Data Using CUAHSI HIS Infrastructure Ilya Zaslavsky, Thomas Whitenack, Keith Pezzoli, Hiram Sarabia University of California at San Diego, San Diego, CA, USA. HIS Central. Publishing SRP water sample data. About CUAHSI. - PowerPoint PPT Presentation
Transcript of Sharing SRP RTC Water Sample Data Using CUAHSI HIS Infrastructure
Sharing SRP RTC Water Sample Data Using CUAHSI HIS Infrastructure Ilya Zaslavsky, Thomas Whitenack, Keith Pezzoli, Hiram Sarabia University of California at San Diego, San Diego, CA, USA
About CUAHSI
Links
Publishing SRP water sample data
Deployment
Service oriented architecture for sharing water data
The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is an organization representing 120+ universities in the US and 11 international affiliates. As
CUAHSI member universities in the US
CUAHSI HIS develops service-oriented architecture for hydrologic research and education, to enable publication, discovery, retrieval, analysis and integration of hydrologic data. The project team has defined a common information model for organizing hydrologic observation data, designed a common exchange protocol (Water Markup Language), created a collection of SOAP web services (WaterOneFlow services) that provide uniform access to different federal, state and local hydrologic data repositories, and developed mechanisms for ontology-based data registration and discovery.
Rainfall & Snow
Water quantity and quality
Remote sensing
Meteorology
Soil water
End-to-end three-tier solution: from publication and registration to discovery and analysis of hydrologic observation data
HIS Central
This system is implemented as a collection of HIS Servers deployed at NSF-supported Hydrologic Observatory test beds across the nation. Several HIS Server are deployed at other partner universities and agencies, and internationally.
CUAHSI HIS supports data publication workflow for hydrologic observations. The steps include:• Loading data into ODM instance and
configuring a Generic ODM web service providing access to the data (typical for relatively small academic projects) OR
Configuring a custom WaterML-compliant web service and assembling a source metadata catalog (typical for large remote repositories)• Registering the new water data
service at a local HIS Server (to be accessible via DASH, Data Access System for Hydrology), AND/OR
Registering the service at the HIS Central, a web application for managing and exploring WaterML-compliant services.
By indexing both government and academic water data services, HISCentral provides a gateway to the largest collection of water observations in the nation.
Once a new water data service is registered, tested and described at HISCentral, an HISCentral’s harvester retrieves site and variable metadata, and the data series information.
Register service
Upload icons, add
metadata
Service is harvested
Tag variables
with ontology concepts
Data is available
in Hydroseek
andin DASH
Adding a water data service to the integrated
metadata catalog
The next step is tagging the harvested variables using CUAHSI ontology concepts, and making the new water data service appear in Hydroseek, a web application for ontology-based and map-based search and retrieval of hydrologic data from multiple networks.
The service may be also shown in DASH: Data Access System for Hydrology
This pilot implementation integrates water sample data collected by SBRP programs at UCSD and UA.
UCSD
UATest Service
UCSD SBRP data for San Diego, available in DASH along with water quality data from USGS, EPA, and other local sources
UCSD Superfund Research Program: http://superfund.sdsc.edu/index.php
HIS Central: http://hiscentral.cuahsi.org/
CUAHSI HIS: http://his.cuahsi.org
Hydroseek: http://www.hydroseek.net
HIS Wiki @ SDSC : http://river.sdsc.edu/wiki
Mailing list: subscribe at https://lists.sdsc.edu/mailman/listinfo/his
part of its mission, CUAHSI supports the development of cyberinfrastructure for the hydrologic sciences. The CUAHSI HIS (Hydrologic Information System) project is a multi-year multi-institution effort focused on consistent management and integration of observational data available from several federal agencies (USGS, EPA, USDA, NOAA, etc.) as well as published by academic investigators.
