NDIIPP Project:North Carolina Geospatial Data Archiving Project

Partners:

NCSU LibrariesProject Lead: Steve Morris

NC Center for Geographic Information & Analysis

Project Lead: Zsolt Nagy

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 informationObjective: engage existing state/federal geospatial data infrastructures in preservation

Note: Percentages based on the actual number of respondents to each question 3

Targeted Content

Resource TypesGIS “vector” (point/line/polygon) dataDigital orthophotography Digital mapsTabular data (e.g. assessment data)

Content ProducersMostly state, local, regional agenciesSome university, not-for-profit, commercialSelected local federal projects

Note: Percentages based on the actual number of respondents to each question 4

Vector data (point, line , polygon)

Note: Percentages based on the actual number of respondents to each question 5

Time series – vector dataParcel Boundary Changes 2001-2004, North Raleigh, NC

Note: Percentages based on the actual number of respondents to each question 6

Remote sensing data (satellite imagery)

Note: Percentages based on the actual number of respondents to each question 7

Digital orthophotography (Aerial imagery)

Note: Percentages based on the actual number of respondents to each question 8

Digital orthophotography (Aerial imagery)

Note: Percentages based on the actual number of respondents to each question 9

Digital orthophotography (Aerial imagery)

Note: Percentages based on the actual number of respondents to each question 10

Time series – Ortho imageryVicinity of Raleigh-Durham International Airport 1993-2002

Note: Percentages based on the actual number of respondents to each question 11

Tabular data (combined with vector data)

Note: Percentages based on the actual number of respondents to each question 12

Today’s geospatial data as tomorrow’s cultural heritage

Note: Percentages based on the actual number of respondents to each question 13

Risks to Digital Geospatial Data

Producer focus on current dataTime-versioned content generally not archives

Future support of data formats in questionVast range of data formats in use--complex

Shift to “streaming data” for accessArchives have been a by-product of providing access

Preservation metadata requirementsDescriptive, administrative, technical, DRM

GeodatabasesComplex functionality

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 approachMETS with FGDC, PREMIS?, GeoDRM?

Dspace now; re-ingest to different environment

Web services consumption for archival development

Note: Percentages based on the actual number of respondents to each question 15

Rights Issues

Various interpretations of public records law53.9% of local NC agencies charge for data

43.7% of local NC agencies restrict redistribution

Desire for downstream control of dataDisclaimer clickthrough; liability concerns

Filtered locations/individuals; post 9/11 issues

Restrictions on redistribution; commercial resale

Web services area in “Wild West” stageBoth content and technical agreements

GeoDRM initiative in the works

Note: Percentages based on the actual number of respondents to each question 16

Big Challenges

Management of data versions over timeHow 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” productsThe counterpart to the map is not just the dataset—also includes models, symbology, interpretation

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

Questions?