Building a first generation cyberinfrastructure to support ecological forecasting


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Presentation summarizes my work at the Kansas Biological Survey to construct a cyberinfrastructure in support of ecological forecasting. The goal was to identify, organize, metadata, and publish databases available at the KBS. The system uses a hybrid stack built around ESRI ArcGIS Server and the metadata catalog GeoNetwork.

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Building a first generation cyberinfrastructure to support ecological forecasting

  1. 1. Constructing a first-generation cyberinfrastructure to support ecological forecasting Understanding and Forecasting Ecological Change: 3rd Annual Symposium February 20, 2009 Joshua S. Campbell
  2. 2. Cyberinfrastructure  Cyberinfrastructure (CI) is the application of information technology to the problem of efficiently connecting data, computers, and people with the goal of enabling the discovery of novel scientific theories and knowledge.  Utilizes IT  Connecting  Distributed science
  3. 3. Vision  To share KBS data via the web  Identify, Organize, Metadata, Publish  Designed to support ecological forecasting  Land cover  Kansas Field Station and Ecological Reserves (KSR)  Hydrology
  4. 4. Motivation  UnrealizedValue  Network Effects  NSF’s vision of Cyberinfrastructure  Sharing is the new research paradigm
  5. 5. Stakeholders  Scientific Community  Increase knowledge inside ecoforecasting community about available datasets  Participate with a global research community  Public Outreach  Provide decision-makers and citizens access to KBS science
  6. 6. Ecoforecasting and CI  Utilizes a range of atmospheric, geological, hydrological, ecological, biological, and cultural data  Sorry if I forgot one…  Geography is the unifying framework  GIS provides the computational framework  Maps are a primary data interface
  7. 7. How will users interact with the data?
  8. 8. Designing Cyberinfrastructure (National Academies Workshop, June 2007,  Open standards  Proprietary platforms (linking)  Open source software  Open access publishing  Simplified data licenses (Science Commons)  Access management systems
  9. 9. Data Organization Datasets Web Services Applications
  10. 10. System Design  3 Components  ArcGIS Server  GeoNetwork  KARS website redesign  Redundant and Discoverable
  11. 11. Demos  KSRWeb Map  GeoNetwork  Interactive Map  Data Download  Google Earth  ArcGIS REST Services
  12. 12. Web application is ‘consuming’ two web services
  13. 13. Each web service is built from individual datasets Hyperlink provides direct access to the GeoNetwork metadata catalog
  14. 14. GeoNetwork provides search capabilities based on: keyword geographic location KBS division type of data
  15. 15. A built-in interactive map viewer allows data to be visualized and queried prior to download
  16. 16. Data can be downloaded in a number of formats, including shapefile, KML, WMS and REST
  17. 17. Provides direct access to the ESRI REST services page
  18. 18. HTML representation of all services running on the server
  19. 19. REST services can be viewed in a number of clients
  20. 20. Google can find and index both attributes and geography
  21. 21. Supported Interfaces and Operations allow direct programmatic access to the service. This allows the data to be used in distributed modeling applications, without having to be downloaded.
  22. 22. Next steps  Increase functionality of the system  Add more datasets  Create ‘geoprocessing’ web services  Increase users  New dynamic-HTML website
  23. 23. Challenges  Technology  Scientific research and IT are two distinct skillsets  WebGIS is not the same as desktop GIS  Culture  Data is power (or so researchers think)  F.U.D. (Fear, Uncertainty, and Doubt)  Extra work to provide metadata
  24. 24. Questions…?  KBS system is still in beta  System is expected to be operational this summer  Email 