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Lectures 6 and 7 Spatial Data Infrastructures

Partnerships in Action. Lectures 6 and 7 Spatial Data Infrastructures. Longley et al. Chapter 20. Partnerships. Often fraught with hazards – can take longer and create friction BUT Often there is no real choice for they can bring: New staff skills Additional technology Marketing skills

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Lectures 6 and 7 Spatial Data Infrastructures

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  1. Partnerships in Action Lectures 6 and 7Spatial Data Infrastructures Longley et al. Chapter 20

  2. Partnerships • Often fraught with hazards – can take longer and create friction BUT • Often there is no real choice for they can bring: • New staff skills • Additional technology • Marketing skills • Better brand image • New insights on user needs • New products • Cost- and risk-sharing

  3. Local partnerships: an example NOAA NMS SB County Planning & Develop Island Packers Blue Planet Commercial Fisherman of SB, Inc Ventura College UCSB Channel Islands National Park Calif Coastal Commission Many, many others … Channel Island National Marine Sanctuary

  4. Local to global partnerships: an example GIS Day is an annual grassroots event which began in November 1999, designed to promote geographic literacy in schools, communities, and organizations. GIS Day GIS users and vendors open their doors to schools, businesses, and the general public to showcase real-world applications of the technology. News of the event is spread by use of the Internet and by advertising. Any organization can host such an event: 2,400+ organizations hosted GIS Day events in more than 91 different countries in 1999 (see map). About 2.4 million children and adults were enlightened on GIS technology on that day

  5. www.gisday.com

  6. National partnerships via NSDIs • The problem: • Data duplication commonplace – so waste occurs • Ad hoc data sharing has many difficulties • Data often tailored to one application • Best data often collected in greatest detail at local level but not accessible to regional or national folk • Indexes/metadata to available GI unknown until recently • No general protocols for any of this until NSDI…

  7. What is a National Spatial Data Infrastructure? • ‘the technology, policies, standards, and human resources necessary to acquire, process, store, distribute, and improve utilization of geospatial data’ Source: Presidential Executive Order #12906 (1994): 'Co-ordinating Geographic Data Acquisition and Access: The National Spatial Data Infrastructure' W Clinton. BUT what does it mean in practice?

  8. Initial elements of the US NSDI • Defined standards (mandated on federal agencies and encouraged for others) Minimizing inconsistency • Clearinghouse – metadata descriptions of existing data. Advertising what is available • National geospatial data framework - a common ‘template’ on which to assemble other data

  9. The NSDI is composed of Clearinghouse Metadata Geo data Partnerships Standards

  10. The data provide a core... Geographic/Geospatial Data

  11. Categories of Geographic Data • Community-developed data sets • single purpose • potential re-use • common content specification • “Framework” data

  12. Specialized Framework Categories of Geographic Data

  13. State Private Utilities Federal Local Hydrography Geodetic Cadastral Railroads Roads Boundaries Spatial Analysis Spatial Analysis Base for Other Data Base for Other Data Finished Maps Finished Maps Framework Data Elevation and bathymetry Digital orthoimagery

  14. Web Sites of the Week

  15. Metadata Describing your data... Specialized Framework

  16. Metadata: “nutritional” label for GIS data sets • Internally - saves 4 hrs research 10 times a year = (4x10x$50) = $2,000 (time it takes to look up or contact someone for information about a dataset) • External Questions - refer 30 inquires/year (1hr/inquiry) = (30x1x $50)=$1,500 (time it takes to answer calls from people who want to use the data or find out more about it) • Future reuse/enhancement -$5,000 to $25,000 • Liability (lawyers, courts) - $$$$

  17. The uses of metadata • Provides documentation of existing internal geospatial data resources within an organization (inventory) • Permits structured search and comparison of held spatial data by others (advertising) • Provides end-users with adequate information to take the data and use it in an appropriate context(liability)

  18. Clearinghouse (catalog) Making data discoverable... Metadata Specialized Framework

  19. Clearinghouse provides... • Discoveryof spatial data • Distributed search worldwide • Uniform interface for spatial data searches • Advertisingfor your data holdings

  20. Clearinghouse operates as... • Entry point to constellation of servers • Collection of distributed servers, using a common protocol (e.g., Z39.50) • A virtual “Google” for geographic data

  21. This is all “Clearinghouse” Gateway NOAA Clearinghouse “Nodes” or Servers Web Client Oregon USGS NMD NGS

  22. Standards Consistent approaches... Clearinghouse (catalog) Metadata Specialized Framework

  23. Who builds standards? • ISO - Intl Standards Organization • FGDC Standards working group in partnership with . . . • FGDC Thematic subcommittees • Open Geospatial Consortium (OGC) • Concerned organizations • Producers and users of geospatial data

  24. Types of standards • Data content • Common classifications • Common collection criteria • Data management • Metadata • Spatial Data Transfer Standard (SDTS) • Data transfer protocols (e.g., WMS)

  25. Clearinghouse/Catalog & Standards • Important differences: • Data models, data structures (formats), query languages, (syntactic) • meaning of terms in metadata, meaning of values in data (semantic) •  E.g.: •  Metadata: • Different metadata standards (ISO vs. FGDC) • Different terms: ‘Seabed’ vs. ‘Seafloor’ • ‘Coastline’ vs. ‘Shoreline’

  26. Open Geospatial Consortium (OGC) • OGC Web Service: • OGC specification • Interface allowing requests for geographic “resources” across the Web using platform-independent calls • Main OGC services: • Catalogue Service for the Web (CSW) • Web Map Service (WMS) • Web Feature Service (WFS) • Web Coverage Service (WCS)

  27. Global atlas Local atlases Catalog Services for the Web (CSW) Example • International Coastal Atlas Network (ICAN) • Connect individual coastal atlases to an integrated global atlas …

  28. Catalog Services for the Web (CSW) Example • ICAN CSW based on open source GeoNetwork • Geonetwork-opensource.org “Seabed” “Seafloor” Atlas X ISO Metadata & MIDA terminology FGDC Metadata & OCA terminology X Standard & X terminology …

  29. Next step for ICAN is WMS Linking of terms in metadata helps ultimate to link to data: ICAN:Coastline is similar to OCA:Shoreline CSW WMS WFS CSW WMS WFS CSW WMS WFS X …

  30. GetMap Operation Web Mapping Service (WMS) Example • DISMAR: Data Integration System for Marine Pollution and Water Quality. More current projects at http://interrisk.nersc.no/

  31. International Coastal Atlas Networkican.science.oregonstate.edu

  32. Partnerships Clearinghouse (catalog) Metadata GEOdata Framework Standards

  33. Lots of people involved… • Federal government (many agencies) • State government • Local government • Private sector – contractors, value-adders, exploiters • Not for profit organizations • Citizenry • Others… No one is in charge…

  34. Data.gov

  35. Mapaction.org

  36. Government and the private sector • National governments own and control national mapping agencies • All such mapping produced to national specifications until recently • New private sector providers: • Produce imagery for anywhere in world • Produce road databases • How do we get these to work together?

  37. A Research Agenda • Future of the Spatial Information Infrastructure • Information policy • Intellectual property rights, privacy, liability • Digital government research • Local generation and integration of data • Public participation GIS

  38. Institutional aspects of SDIs GI Partnering GI Resource Mgmt Gradation, Indeterminate Boundaries Geospatial Semantic Web Spatialization Pervasive Computing Location Based Services Spatial Clustering Geoslavery & Security Geospatial Data Fusion Global Representation and Modeling Data Mining and Knowledge Discovery Dynamic Modeling Short Term Research Prioritieswww.ucgis.org priorities-->research

  39. Geographic Representation Scale Spatial Data Acquisition & Integration Spatial Cognition Spatial Ontologies Space and Space/Time Analysis & Modeling Uncertainty Visualization GIS and Society Geographic Information Engineering Other Research Priorities(Long Term)

  40. A Global Spatial Data Infrastructure? • Difficult enough to get national players to work together… • Is GSDI a process, a general framework or a product? • Who are the stakeholders? • Who needs it? (military doing what they need themselves?)

  41. Life, partnerships and GIS • When do you work in partnership with other people or organisations? • What makes it worthwhile? The same applies to GIS partnerships: • Commitment to a cause, wish to improve matters? • Personal ambition? Influence? Fame? Status? • Money?

  42. Summary - 1 • Partnerships versus competition • Local • National Spatial Data Infrastructure • Geodata, Framework, Metadata, Clearinghouse, Standards, Partnerships • Global Spatial Data Infrastructures • Political power in partnerships • Bringing it all together: the GIS game

  43. Summary - 2 • Partnerships potentially very powerful so look beyond the normal.. • Nothing is without cost… • Choose GIS partners carefully, nurture relationships…

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