GeoChronos: An On-line Collaborative Platform for Earth Observation Scientists

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    GeoChronos: An On-line Collaborative Platform for Earth Observation Scientists - Presentation Transcript

    1. An On-line Collaborative Platform for Earth Observation Scientists Presented by Cameron Kiddle Research Fellow, Grid Research Centre
    2. Outline
      • Overview
      • Project Team
      • Virtual Organization
      • Challenges
      • Solutions
      • Progress/Status
    3. Overview
      • GeoChronos is an on-line platform
        • For:
          • Earth Observation Scientists
        • Facilitating:
          • Collaboration between scientists
          • Data access, management and sharing
          • Application access, management and sharing
        • Leveraging:
          • Web 2.0 and social networking technologies
          • Semantic Web technologies
          • Cloud computing technologies
    4. Project Team Dr. Arturo Sanchez-Azofeifa University of Alberta Dr. John Gamon University of Alberta Dr. Benoit Rivard University of Victoria Dr. Rob Simmonds University of Calgary Prinicipal Investigators Project Coordination Platform Development Domain Scientists
    5. Virtual Organization
    6. Collaboration Challenges
      • Familiarity with new tools for collaboration
      • Keeping all interested parties in the loop
      • Finding related work and researchers
      • Keeping up to date with current research
      • Collaboration while working in the field
    7. Data Challenges
      • Acquisition of data
        • Many different data sources
        • Different regulations/mechanisms for accessing data
        • Lack of automation
        • Finding the right data
      • Managing data
        • Scattered and unorganized data
        • Inadequate tools for recording/maintaining metadata
          • Data without metadata is meaningless
          • Lack of suitable metadata standards
          • Validation of metadata
        • Tracking provenance of data
      • Pre-processing of data
        • Raw data typically cannot be directly analyzed
        • Significant amount of time spent preparing data for analysis
        • Lack of automation
    8. Application Challenges
      • Access to software available in research lab while in field or other locations
      • Installing, configuring and updating software
      • System dependencies of software
      • Awareness and suitability of available software
      • Sharing applications
      • Getting help in using applications
      • Sharing results and getting feedback
      • Co-location of data and applications
    9. Collaboration Solutions
      • Social networking portal
        • Facebook (1 st prototype)
        • Ning (2 nd prototype)
        • Elgg (Current)
      • Social networking services
        • Blogs
        • Tags
        • Media/document sharing
        • Wikis
        • Friends/contacts
        • Groups
        • Discussions
        • Message boards
        • Status
        • News Feeds
      http://geochronos.org/
    10. Data Solutions
      • Data Acquisition
        • Automated acquisition of satellite, meteorological and spectral data
      • Data Management
        • iRODS (Integrated Rule-Oriented Data System)
        • Metadata management
          • RDF (Resource Description Framework)
          • OWL (Web Ontology Language)
      • Data Processing and Analysis
        • Automated data workflows
    11. Application Solutions
      • On-line/on-demand access to scientific applications using VNC
      • Java Web Start-based VNC viewer (NRC)
      • Connections tunneled over SSH via gateway node
      • User storage space
      • Share sessions and data with other users
      • Restrict access to applications using groups
      Interactive Application Service (IAS)
    12. Cloud Computing Infrastructure
      • Developed by the GRC (in collaboration with HP Labs)
      • Enables dynamic allocation and management of virtual machines and cloud services
      • Running on HP Labs Data Centre at the UofC
      • Similar to Eucalyptus, Nimbus and OpenNebula but has greater focus on scheduling capabilities and efficient image management
      Automated Service Provisioning ENvironment (ASPEN)
    13. Progress/Current Status
      • Collaboration
        • June 2008 – Facebook-based portal (prototype)
        • Sept 2008 – Ning-based portal (prototype)
        • Jan 2009 – Elgg 1.2-based portal (beta)
        • Apr 2009 – Elgg 1.5-based portal (development)
      • Data
        • June 2008 – MODIS satellite data repository (prototype)
        • Apr 2009 – Spectral library (initial design)
      • Applications
        • Nov 2008 – Interactive Application Service (prototype)
        • Jan 2009 – Interactive Application Service (beta)
    14. Contact Information Cameron Kiddle [email_address] http://pages.cspc.ucalgary.ca/~kiddlec/ http://geochronos.org/ http://grid.ucalgary.ca/ http://ceos.ualberta.ca/ http://www.cybera.ca/
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