1 / 25

A Partnership Approach to Data Access in Minnesota

A Partnership Approach to Data Access in Minnesota. Chris Cialek Land Management Information Center chris.cialek@state.mn.us Minnesota GIS/LIS Consortium Conference October 3, 2002. Topics. Data access challenges Solutions developed Policies and procedures required Future considerations.

dunn
Download Presentation

A Partnership Approach to Data Access in Minnesota

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. A Partnership Approach to Data Access in Minnesota Chris Cialek Land Management Information Center chris.cialek@state.mn.us Minnesota GIS/LIS Consortium Conference October 3, 2002

  2. Topics • Data access challenges • Solutions developed • Policies and procedures required • Future considerations

  3. Data Access Challenges • A unique role for LMIC • Not mandated to gather specific data, but to: foster integration of environmental information & provide services in computer mapping & graphics, environmental analysis, & small systems development • Historic role led to many collaborations & lots of new data: • Enhancements to EPPL software • GIS projects for other state agencies • Coordination of large data collections • Archive and distribute those data

  4. Data Access Challenges • A unique role for LMIC • Constituents • Customers for applications development services • State’s GIS users looking for data • Schools & educators looking for GIS assistance

  5. Data Access Challenges • Problem • By the late 1980’s: • Quantity of data increasing dramatically • Demand increasing • Growing expectation that it was out there . . . somewhere • At the same time: • Organization of data was in disarray • Casual development & distribution creating confusion. Expectations not in sync with reality

  6. Data Access Challenges • Issues • Data models • Data formats • Accuracy • Nomenclature • Content standards • Portable data storage • Distribution policies • The Internet!

  7. Data Access Solutions • Library Model

  8. Electronic Card Catalog • Databases of library resources • Rely on structured cataloging rules • Metadata, in a format called Dublin Core • Users query that database • Title, author, subject, keywords • Results identify availability of resources • At that facility • And at others, in town or across the country

  9. Data Access Solution

  10. Adaptations of the GeoGateway

  11. How the GeoGateway Works Modeled after the Federal Clearinghouse • Spatial search engine • Relies on metadata • Query on keywords, dates, geography, source • Distributed searches • Search many different sources simultaneously • Data distribution controlled by provider • Provide a phone number or download directly • New web mapping applications enhance options

  12. Data Delivery is on the Rise Web technology has dramatically increased data delivery from LMIC’s web site. The DNR, MetroGIS, Mn/DOT and other Minnesota providers have experienced similar growth.

  13. Policies and Procedures • Standards Based • Sound documentation practices - metadata • Map projection/datum guidelines • Coding standards for common features • Accuracy • Communication protocols

  14. Policies and Procedures • Software Tools • DataLogr • ArcCatalog • Training and Promotion • 2002: Nine metadata training classes • Metadata identity program • Partnerships • Over 50 organizations today

  15. The Future • Enhanced web access • MetroGIS DataFinder Café • Begins integrating map service technologies • Provides user selected regions & format • Honors distribution policies of contributors

  16. The Future • Enhanced web access • New Technology grant: GeoIntegrator • Extends scope: statewide • Builds library-style search option • Includes more output formats • Projection/coordinate conversions on-the-fly • Implements new OGC standards • Begins to establish a statewide architecture • Can provide portal & data streaming services for applications developers

  17. Data Warehouse Data Warehouses Data Warehouse Data Warehouse ArcIMS Instance [LMIC] ArcIMS Instances [Others] ArcIMS Instance [Mn/DOT] ArcIMS Instance [Met Council] Data Warehouses Data Warehouse WMS Instances [Others] WMS Instance [DNR] GeoIntegrator Architectural Diagram GeoIntegrator Data Distribution Client Web Browser Requests GeoIntegrator Cascading & Extracting Web Map Service Standardized Metadata Records GeoIntegrator Distribution Client can browse and download data. GeoIntegrator Extract and Map client can extract data from native formats, translate data, and produce a map for viewing or printing. Security Module [Future]

  18. The Future • Technical training: Federal grant • Metadata – “train the trainer” program • Accelerate use of metadata for ArcGIS users (ArcCatalog) • Seed money for new data libraries • Investigations into international standards

  19. The Future • Increased partnerships • Focus on non-metro counties & local governments • Data producing state agencies not historically involved • Governor’s Council I-Team initiative

More Related