Standardization of the Continental Divide National Scenic Trail (CDNST) Data Management Kerry Shakarjian University of Denver Department of Geography Masters.

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Standardization of the Continental Divide National Scenic Trail (CDNST) Data Management Kerry Shakarjian University of Denver Department of Geography Masters of Science Geographic Information Science Project Proposal

Overview  ~3,100 miles crossing MT, ID, WY, CO, NM  Multiple land management agencies: BLM, NPS, US Forest Service  Lead agency = US Forest Service (Lakewood, CO)  Lead partner = Continental Divide Trail Alliance (CDTA) Purpose 1.Can multiple agencies utilize the same data standardization protocol for CDNST? 2.Can database management systems be used across multiple agencies to coordinate CDNST data after collection?

Data Consistency Varying trail management policies  Different methods/protocols among agencies  Need: Multi-jurisdictional collaboration GIS attribute coding disagree  Agency road definitions differ  Creates potential for different interpretation  Need: One method of coding Variety of sources  Inconsistent data collection  Need: Systematic data collection

Tool for Managing CDNST FS Infrastructure database (Infra)  Accountability through accomplishments  Funding incentives  Spending wisely – future funding from Congress Minimize redundancy to achieve consistency Multiple user interface across agency boundaries Infra’s business flow chart (FS, 2004)

Data Required Current Infra database access  Why? GIS stored in Infra (data layers, aerials, topos etc.) Most up-to-date GIS and Strategic Plan Project Instructions for Completing and Updating CDNST GIS Data  Attribute metadata List of key GIS/Infra specialists  Within agencies (data collection & integration knowledge)  Within the study area (key to pilot project support) Most current GIS CDNST data  Data needs assessment (pilot project-New Mexico)

Methods Compare current attributes of CDNST data to standards and criteria for trails Use trail data to evaluate Infra in relation to CDNST data Redefine data criteria and methods for collecting data Determine best technologies for data collection & possible integration into Infra Develop, test and modify data dictionaries for collecting CDNST data for populating Infra Determine best data dictionary for integration into Infra

Pilot Project Flow Chart New Mexico CDNST Bureau of Land Management National Park ServiceU.S. Forest Service Data Dictionary Standardize Methodologies Quality Control (Trail data criteria met?) Data Attributes Data Collection Continental Divide Trail Alliance (CDTA) Infrastructure Database (or similar format)

Timetable June-August 08: Compile Trail data standards & criteria September-October 08: Complete evaluation of CDNST attributes in a format compatible with Infra November 08-February 09: Field work to determine best technologies and evaluate data dictionary March-May 09: New Mexico project area data collection using final technology and data dictionary  Develop sample data entry forms for integration into Infra (non-GIS users) June-August 09: Final evaluation of data collection method September-December 09: Finalize thesis project report

Deliverables Final data dictionary for CDNST feature attributes Non-GIS Data Entry Form User manual for CDNST data collection

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