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CBEO-N portal-related progress and prospects

CBEO-N portal-related progress and prospects. Focus now: Infrastructure for sharing and managing observations data for CB; loading datasets Environmental observatory node and portal, integrated with other observatory efforts Collaborative and document sharing tools Focus next:

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CBEO-N portal-related progress and prospects

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  1. CBEO-N portal-related progress and prospects • Focus now: • Infrastructure for sharing and managing observations data for CB; loading datasets • Environmental observatory node and portal, integrated with other observatory efforts • Collaborative and document sharing tools • Focus next: • Infrastructure support for data-intensive hypoxia modeling • Training in tools developed earlier

  2. CBEO Portal at http://geon16.sdsc.edu:8080/gridsphere Several CBEO datasets registered, and searchable

  3. CBEO Portal: some useful features Ability to create maps on demand from one or more registered shapefiles

  4. CBEO Portal: some useful features Ability to query registered relational databases, e.g. CIMS

  5. CBEO Portal: new features . Ability to organize data and people into projects (e.g. CBEO-S) Currently, 30 registrants to the portal . Also, ability to search CBEO data only, or data registered by other earth science portals (Federated portals approach, developed together with the GEON team)

  6. CBEO Portal: new features. Collaborative tools from bothSDSC and NCSA. E.g., the Sharepoint server and code management system for CBEO

  7. CUAHSI HIS time series management system for CB data HIS Server deployed by SDSC team at WATERS testbeds, incl. 3 testbeds related to CB WaterML-compliant services (e.g. http://cbe.cae.drexel.edu/wateroneflow/CIMS.asmx?WSDL from Drexel)

  8. Needs and prospects • Prioritization of datasets and resources to be registered through the portal, and registering more resources (together with the science team) • Portal training, esp. focused on grad students • Integration between GEON-based and CUAHSI HIS-based information management systems (access under single portal; data exchange) • Additional time series services in WaterML, and environmental mashups • Model support: wrapping available spatio-temporal interpolation tools as portal components or services • Integrating the portal with streaming data management (have working demos now)  

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