Digital Preservation in State Government: Best Practices Exchange 2006

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

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 (statedemonstration) • 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 Note: Percentages based on the actual number of respondents to each question

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

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

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

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

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

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

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

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

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

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