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A Proposal for a Distributed Earth Observation Data Network

A Proposal for a Distributed Earth Observation Data Network. Matthew B Jones UC Santa Barbara National Center for Ecological Analysis and Synthesis (NCEAS) Presentation at TDWG 2008 Freemantle, Australia. Global Change. Critical Areas in the Earth System.

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A Proposal for a Distributed Earth Observation Data Network

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  1. A Proposal for a Distributed Earth Observation Data Network • Matthew B Jones • UC Santa Barbara • National Center for Ecological Analysis and Synthesis (NCEAS) • Presentation at TDWG 2008 • Freemantle, Australia

  2. Global Change

  3. Critical Areas in the Earth System Where local or regional changes may have strong effects on earth system interactions, feedbacks, or connections

  4. Coupled Human & Natural Systems

  5. Knowledge Network for Biocomplexity Data Distribution Many existing but unlinked data networks and federations in ecology, hydrology, taxonomy, genetics, vegetation science, oceanography, atmospheric science, ...

  6. DataNetONE • DataNetONE (Observation Network for Earth) • Michener, Cook, Frame, Hampton, Smith, Allen, Horsburgh, Jones, Sandusky, Scherle, Servilla, Vieglais, Wilson, Allard, Buneman, Butler, Cobb, Cruse, Deelman, DeRoure, Duke, Goble, Hobern, Honeyman, Hutchison, Kelling, Kranowitch, Kunze, Ludaescher, Normore, Pereira, Pouchard, Tenopir, Weltzin, Von Welch • Highly distributed network of earth observational data • Linking existing systems • Focus on long-term sustainability (30+ years time horizon) • Technical sustainability • Financial sustainability • Mostly focused on production infrastructure • Continual evaluation and incorporation of research findings

  7. DataNetONE Participants

  8. Cyberinfrastructure Objectives • Support synthesis in earth observation sciences • Preserve data for long-term studies • Powerful data access to distributed Member Nodes • Support full lifecycle of scientific process • Design goals • Distributed management at Member Nodes • Replication and caching for preservation and performance • Software must provide benefits for scientists today • Evolution of software and standards • Support and adapt existing community software efforts • Emphasize Free and Open Source Software

  9. What are the data/sources/providers? • Biological (genome to ecosystem) • Environmental • Atmospheric • Ecological • Hydrological • Oceanographic • Taxonomic • Sources: • Scientists • Research networks • Environmental observatories • Citizen groups

  10. What are the data/sources/providers? • Sources/Providers: • US and international Long Term Ecological Research Programs • Biological specimens associated with museums, herbaria • Observational data relating to invasive species, infectious diseases, wildlife and fisheries, and habitat • Natural resources and conservation data collected by US and international Parks System • Global and continental land cover/land change and biogeochemical data

  11. Overview of Components • Member Nodes • Earth observing institutions, projects, and networks • Provide resources for their own data and replicated data • Focused on serving their constituencies • Coordinating Nodes • Provide network-wide services to Member Nodes • Geographically replicated services • Investigator Toolkit • Tools for researchers to access DataNetONE • General Purpose and discipline-specific tools • Adapt existing tools where possible

  12. Common Service Interface • DataNetONE Service Interface • Federated Identity and Authorization Services • Object Management Services • Discovery and Usage Services • Preservation Services • Network Services

  13. DataNetONE Components

  14. What is the Investigator Toolkit? • Suite of software tools for researchers • Principal mode of interaction with the network • Design goals • Emphasize Free and Open Source, but support commercial • General analysis frameworks (e.g., R, MATLAB) • Domain-specific tools (e.g., GARP, Phylocom) • Organized using scientific workflows • Communication via the Service Interface

  15. Toolkit Functions • Supports the scientific lifecycle • Data management and preservation • Data query and access • Data analysis and visualization • Process management and preservation • Portal software

  16. Longevity: organization & community • Broad, active community engagement • Library educators engaging new generations of students • Existing outreach and education • e.g., citizen science portals, NCEAS, NESCent, etc. workshops • Strong organizational sustainability • 30 years providing access to ecological data, biodiversity data, etc. • More than 100 years experience for participating libraries

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