1. Identification, Selection, and Appraisal within the North Carolina Geospatial Data Archiving Project (NCGDAP) NCSU Libraries Steve Morris Head of Digital Library Initiatives Digital Preservation in State Government: Best Practices Exchange 2006

2. Note: Percentages based on the actual number of respondents to each question 2 NC Geospatial Data Archiving Project Partnership between university library (NCSU) and state agency (NCCGIA), with Library of Congress under the National Digital Information Infrastructure and Preservation Program (NDIIPP) One of 8 initial NDIIPP partnerships (only state project) 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 inventories 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: Vector Data

4. Note: Percentages based on the actual number of respondents to each question 4 Targeted Content: Digital Orthophotos

5. Note: Percentages based on the actual number of respondents to each question 5 Targeted Content: Digital Orthophotos

6. Note: Percentages based on the actual number of respondents to each question 6 Targeted Content: Digital Orthophotos

7. Note: Percentages based on the actual number of respondents to each question 7 Targeted Content: Tabular Data

8. Note: Percentages based on the actual number of respondents to each question 8 Targeted Content: Digital Maps

9. Note: Percentages based on the actual number of respondents to each question 9 Problem Scope - NC County Digital Orthophotos 88 counties with, estimated 154 flights by 2006 Estimated 30 gb/flight – 4.6 TB total County, City, COG Vector Data Variable mix of layers; some continuous update 92 of 100 counties with GIS systems 51 municipalities with GIS systems State Agency Data 1993 and 1998 statewide orthos – 800 gb Terabytes of vector data and other imagery 17-20 TB of LIDAR data

10. Note: Percentages based on the actual number of respondents to each question 10 Why Formal Inventory Processes? Alleviate “contact fatigue” on part of local agencies 20 different NC state agencies contact local agencies for data … also, federal/regional agencies Geospatial data is complex, requiring lengthy inventory process Must capture descriptive, technical, and administrative information related to the data Make the inventory available as a sharable data store

11. Note: Percentages based on the actual number of respondents to each question 11 History of GIS Inventories (NC & US) 1997 National Geospatial Data Framework Survey 1997 Survey of GIS Data Availability for NC Counties NC Flood Mapping Program, 2000-2001 NC OneMap Data Inventory, 2003 RAMONA (Random Access Metadata Tool for Online National Assessment), from March 2006

12. Note: Percentages based on the actual number of respondents to each question 12 RAMONA Inventory System -- From March 2006 -- Nationwide (state-by-state)

13. Note: Percentages based on the actual number of respondents to each question 13 What do Inventories Offer? Data Availability Information Detailed information by data layer Contact Information Minimal Metadata Descriptive, technical, administrative Rights Information Document Technical Environment Software used, formats, transfer methods Future Data Development Plans

14. Note: Percentages based on the actual number of respondents to each question 14 County Digital Orthophotography Specifics Source: NC OneMap Data Inventory 2004

15. Note: Percentages based on the actual number of respondents to each question 15 Inventories as Source of Metadata Example: Surface Water

16. Note: Percentages based on the actual number of respondents to each question 16 Inventories as Archive Items Data inventories as archive items: e.g., 1997 federal survey data no longer available on FGDC website

17. Note: Percentages based on the actual number of respondents to each question 17 Selection Issues Targeting data produced within the state Most content is already at risk Exceptions: LIDAR, county-level numeric, … Early-Middle-Late Stage issues Middle stage is usually the “sweet spot”, e.g. TIFF orthophotos vs. raw images or compressed images Also added-value products: digital maps, cartographic representation Digital maps: extent of coverage and propensity for use in GIS factored into selection Frequency

18. Note: Percentages based on the actual number of respondents to each question 18 Time series – vector data Parcel Boundary Changes 2001-2004, North Raleigh, NC Continuously updated data: Frequency of snapshots? Different for various framework layers?

19. Note: Percentages based on the actual number of respondents to each question 19 Problem: Multiple choice for: format type, coordinate system, tiling scheme

20. Note: Percentages based on the actual number of respondents to each question 20 Conclusion Formal inventory processes of spatial data infrastructure help with identifying content Inventories provide data for preservation analysis (format trends, etc.) Need to select from among different formats, coordinate systems, etc. Frequency of capture for time-versioned content is a tricky issue

21. Note: Percentages based on the actual number of respondents to each question 21 Questions? Contact: Steve Morris Head, Digital Library Initiatives NCSU Libraries Steven_Morris@ncsu.edu Web site: http://www.lib.ncsu.edu/ncgdap/