1. Virginia Geospatial Clearinghouse Workgroup August 18, 2010 Esri UC2010 | Tech Workshops Spatial Data Clearinghouse Trends and Solutions Clive Reece

2. Outline Clearinghouse Goals Success comes from Focus Web Services Considerations

3. If You Can’t Find It, You Can’t Use It Data Clearinghouses Improve Access... State clearinghouses data.gov / geodata.gov data.gov.uk ArcGIS.com

4. Geospatial Platform Concepts ProvidersConsumers

5. A Geoportal Completes the Platform ProvidersConsumers Inventory and Catalog Access and Distribution Search and Discovery

6. Success comes from Focus Three examples … 9.3 Tech Transfer Sessions ESRI © 2008 6

7. Oregon Spatial Data Library Site focuses on *downloadable* data Organized by framework categories Supports pre-packaged data or custom-order, user- specifed data packages http://spatialdata.oregonexplorer.info/GPT9

8. Data.gov http://www.data.gov Public access to Federal, high-value data Supports Open Government Directive Initial focus on downloadable data sets Geoviewer adds live viewing of data - Example a Example a - Example b Example b Streaming large data sets requires rethinking …

9. Make it easy on publishers http://gptogc.esri.com Let users just enter a server endpoint URL - (don’t ask them for metadata) DONKEY: They stink? DONKEY: Oh, they make you cry? DONKEY:... You know, not everybody like onions. “Metadata is like onions”

10. Web Services

11. Web Services go beyond “Data Download” Enables re-use of services Enables new applications and widgets (mashups) Enables better access to large data sets (e.g. imagery) Enables better collaboration but we need to rethink how we architect projects …

12. Example: Data.gov Data.gov – new initiative to transparent government Should Data.gov build yet another catalog for data? Geodata.gov and Data.gov collaborated Geodata.gov now supplies Data.gov with 270,000+ downloadable datasets through an OGC Catalog Web Service

13. Web Services go beyond “Data Download” Enables re-use of services Enables new applications and widgets (mashups) Enables better access to large data sets (e.g. imagery) Enables better collaboration but we need to rethink how we architect projects …

14. Silo 1 Services approach… Build connections to data and services (using SDI Design Principles and Implementation) Data Service s Applica tions Silo 2 Data Service s Applica tions Benefits Enterprise awareness Enhanced access Reuse data Reuse services Reuse infrastructure Internet or secure Intranet Catalog New Applications

15. Recap State clearinghouses are all about connecting data consumers with data providers … efficiently To operate effectively on the web, we need to design for connecting consumers with data provider *services*. Successful clearinghouses keep their efforts focused on specific business goals and making things easy for their participants.