1. NDIIPP Project: North Carolina Geospatial Data Archiving Project Partners: NCSU Libraries Project Lead: Steve Morris NC Center for Geographic Information & Analysis Project Lead: Zsolt Nagy

2. Note: Percentages based on the actual number of respondents to each question 2 Project Context Partnership between university library (NCSU) and state agency (NCCGIA) Focus on state and local geospatial content in North Carolina (state demonstration) Tied to NC OneMap initiative, which provides for seamless access to data, metadata, and inventory information Objective: engage existing state/federal geospatial data infrastructures in preservation

3. Note: Percentages based on the actual number of respondents to each question 3 Targeted Content Resource Types GIS “vector” (point/line/polygon) data Digital orthophotography Digital maps Tabular data (e.g. assessment data) Content Producers Mostly state, local, regional agencies Some university, not-for-profit, commercial Selected local federal projects

4. Note: Percentages based on the actual number of respondents to each question 4 Vector data (point, line, polygon)

5. Note: Percentages based on the actual number of respondents to each question 5 Time series – vector data Parcel Boundary Changes 2001-2004, North Raleigh, NC

6. Note: Percentages based on the actual number of respondents to each question 6 Remote sensing data (satellite imagery)

7. Note: Percentages based on the actual number of respondents to each question 7 Digital orthophotography (Aerial imagery)

8. Note: Percentages based on the actual number of respondents to each question 8 Digital orthophotography (Aerial imagery)

9. Note: Percentages based on the actual number of respondents to each question 9 Digital orthophotography (Aerial imagery)

10. Note: Percentages based on the actual number of respondents to each question 10 Time series – Ortho imagery Vicinity of Raleigh-Durham International Airport 1993-2002

11. Note: Percentages based on the actual number of respondents to each question 11 Tabular data (combined with vector data)

12. Note: Percentages based on the actual number of respondents to each question 12 Today’s geospatial data as tomorrow’s cultural heritage

13. Note: Percentages based on the actual number of respondents to each question 13 Risks to Digital Geospatial Data Producer focus on current data Time-versioned content generally not archives Future support of data formats in question Vast range of data formats in use--complex Shift to “streaming data” for access Archives have been a by-product of providing access Preservation metadata requirements Descriptive, administrative, technical, DRM Geodatabases Complex functionality

14. Note: Percentages based on the actual number of respondents to each question 14 Workplan in a Nutshell Work from existing data inventories NC OneMap Data Sharing Agreements as the “blanket”, individual agreements as the “quilt” Partnership: work with existing geospatial data infrastructures (state and federal) Technical approach METS with FGDC, PREMIS?, GeoDRM? Dspace now; re-ingest to different environment Web services consumption for archival development

15. Note: Percentages based on the actual number of respondents to each question 15 Rights Issues Various interpretations of public records law 53.9% of local NC agencies charge for data 43.7% of local NC agencies restrict redistribution Desire for downstream control of data Disclaimer clickthrough; liability concerns Filtered locations/individuals; post 9/11 issues Restrictions on redistribution; commercial resale Web services area in “Wild West” stage Both content and technical agreements GeoDRM initiative in the works

16. Note: Percentages based on the actual number of respondents to each question 16 Big Challenges Management of data versions over time How to “get current object/metadata/DRM”? Relation of the canonical metadata package to the ingest (and export) metadata package Tailor to repository environment or make the acquaintance when needed? Format migration paths (geodatabases, etc.) Dealing with “late-late stage” products The counterpart to the map is not just the dataset— also includes models, symbology, interpretation

17. Note: Percentages based on the actual number of respondents to each question 17 Questions?