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1. Enabling Use of Government Tabular Data in a Geographic Context U.S. Federal Geographic Data Committee 2009 CAP Grant, Category 4
2. FGDC Cap Grant, Category 4 Easy and productive access to geographic, tabular government data Reference location by Address, Code, or Coordinates Shared Public Web Service Discoverable, Accessible, and Applicable to geographic contexts
3. Project Goals Enable more data to be consumable in a geographic context Increases in geo-enabled data will cause an increase in demand for geographic applications and education Geo-enabled data creates a positive externality for the entire ecosystem of agencies and companies that leverage or provide geospatial technologies Mapping should be an option for every data work flow when there is a geographic component available (80-90% of the time) Make data available to a variety of workflows (spreadsheet data to GIS and GeoWeb) and provide dynamic loops (GIS data back to spreadsheets and GeoWeb) allow for collaboration and data sharing
4. Proposed Solution Deliver a platform to provide easy georeferencing of non-spatial data Quality Assurance and Error identification and remediation of contributed datasets Catalog and store taxonomy of existing boundary data sources Add OGC Catalog Services for the Web (CSW) support
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6. CAP Added Capabilities GeoCoding Engine for Street Address georeferencing GeoJoin Engine for polygonal region georeferencing Spatial, hierarchical aggregation Federated search and discovery OpenSearch and GeoRSS OGC Catalog Services for the Web (CSW)
7. GeoCommons Architecture Web Services API Finder! Maker! Search Core Analysis Engine GeoJoin Engine File Parsers GeoCoding Engine Data Store
8. GeoCoding Engine Modularized Architecture US Address Parsing module US TIGER/Line Database and importer Replaceable components Open-Source GeoCoding Engine Web Service API Address String Parser Ruby Street Database SQLite
9. GeoReferencing Engine Stored GeoCommons boundary definitions Integration with existing georeferencing services Join imported data with any GeoCommons dataset