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ESIP Federation Activities

ESIP Federation Activities. Rob Raskin NASA/ Jet Propulsion Laboratory Pasadena, CA. Earth Science Information Partner (ESIP) Federation. Networking consortium of 120 organizations that provide or add value to Earth system science data/information

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ESIP Federation Activities

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  1. ESIP Federation Activities Rob Raskin NASA/ Jet Propulsion Laboratory Pasadena, CA

  2. Earth Science Information Partner (ESIP) Federation Networking consortium of 120 organizations that provide or add value to Earth system science data/information Initially formed by NASA, but now independent entity Membership open to any organization, after application and approval processes Almost entirely US-based

  3. ESIP Membership Types • Type 1 • Raw data providers • Archive centers, mostly NASA and NOAA • Type 2 • Science/research data product providers • Type 3 • Commercial entities • Educational organizations • Planning agencies and decision makers • Service providers Plus strategic funders, such as EPA, NASA, NOAA

  4. Data Value Chain • Raw data (Type 1) • Primarily remote sensing observations • Science data products (Type 2) • Fully validated • Quality controlled • Vetted • Applications (Type 3) • Decision-making • Policy • Regulation • Commercial uses • Education • Expert testimony Ready-to-use

  5. Why Organizations Participate • Broaden involvement • Use Cases • Community Standards • Share technology developments • Leverage what other Agencies/Organizations have experienced • Lessons learned • Testbeds

  6. Networking Mechanisms • Semi-annual meetings • Committees (top-down origin; permanent status) • Information Technology & Interoperability • Products and Services • Education • Clusters and working groups (bottom-up origin; may be transient) • Thematic • Air quality • Water • Disaster • Climate • Methodological • Environmental decision making • Semantic web • Preservation and stewardship

  7. Environmental Decision-Making Cluster • Objectives • Metrics • What constitutes a good decision • Better understanding of data requirements for decision models • Greater appreciation for the value of data in decision-making • Better tool interoperability • Most decision support systems are stove-piped

  8. Information Technology and Interoperability Committee • Objectives • Encourage the use of best information technology practices • Ensure that data, information and services can be readily exchanged and integrated • Encourage the use of standards and protocols relevant to interoperability • Activities • Convene technical workshops at Federation meetings

  9. Air Quality Working Group • Workshop on implementation of interoperability standards • GEO AQ Community of Practice

  10. Water Cluster • Data integration and display tools • Semantic architecture • Ontology management • Use cases

  11. Semantic Web Cluster • Common ontologies for: • Datatypes • Data services • Science/Application context • Improve awareness of semantic interoperability • Tutorials • Use cases • Community standards for ontology content

  12. SWEET Ontology • Semantic Web for Earth and Environmental Terminology (SWEET) • Purpose: to improve discovery and use of Earth-referenced data • Upper-level ontology set for Earth system science • 4000 concepts spanning Earth system science, applications, and data • Organized into 140 modular ontologies • Scalable to readily accommodate growth • Written in OWL-DL • Easily extended for specialized domains • Long-term maintenance to be provided by the ESIP Semantic Web Cluster

  13. Math Measurement Systems Basic Science Earth System Science Applications Geometry Function Statistics Vector Time Space Scale Geologic Scale Direction Object Science Distribution Coordinates Units System Instrument Physics Waves ElecMag Dynamics Chemistry Biology Radiation Thermo Fluid Element Process Plant Animal Spectrum Gravity Fluid Dyn Compound State Ecosystem Biome Sound Solid Transport Organic Process Particle Atmosphere Hydrosphere Geosphere Astronomy Pressure Wind Dynamics Composition Petrology Tectonica Sun Planet Stability Composition Ocean WaterBody Orogen Volcano Heliosphere Cloud Front Surface Groundwater Continental Oceanic Precip Mesoscale Resources Basin Cryosphere Climate Electric BoundaryLay EarthReference Human Data Geography Commerce Impact EnvControl Representation ClimateZone Soil Coast Agriculture Aviation Infrastruct Services Border Geomorphol Landform Abstract to Applied

  14. Environmental Ontologies • 12 new modules for cross-cutting environmental applications • Supplements rather than replaces existing air and water chemistry modules Environment Impact Regulation Standards Indicator Decision Protection Sustainability Transport Pollutant Protection Control Assessment

  15. SWEET Top Level View

  16. More Info • ESIP Web Site • http://wiki.esipfed.org • ESIP Collaboration Pages • http://esipfed.org • Upcoming ESIP Meetings • Knoxville, TN July 20-23, 2010 • SWEET • http://sweet.jpl.nasa.gov

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