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Content and Practice:
Background to the NC Geospatial Data Archiving Project
Steve Morris NCSU Libraries
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)Addressing the NC OneMap objective “Historic and temporal data will be maintained and availableOne of eight projects in the first NDIIPP funding round: “Building a Network of Partners”
Note: Percentages based on the actual number of respondents to each question 3
Targeted Content
Resource TypesGIS 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
Value of Content
National State Geographic Information Council estimate for NC: $162 million (2003)Local content also forms basis of many state/federal data resourcesValue over time:
Greatest demand for current dataIncreasing (yet still small) demand for older versions of dataOlder versions impossible to replace once lost
Note: Percentages based on the actual number of respondents to each question 5
Large scale, current, attributed vector data
Note: Percentages based on the actual number of respondents to each question 6
High resolution digital orthophotography
Note: Percentages based on the actual number of respondents to each question 7
County Digital Orthophotography Specifics
Imagery Type
21.0%
76.0%
1.5% 1.5%
Color-InfraredTrue ColorBlack & WhiteNot Sure
Maintenance Frequency
3.0%
1.5%
10.6%
7.6%
1.6%
36.4%
2.0%3.0%
10.6%
1.7%
Daily Annually Every 2 Yrs. Every 3 Yrs.Every 4 Yrs. Every 5 Yrs. As Funds Allow OtherNot Sure Not Maintained
Data Meet LRMP Specifications?
80.0%
3.1%
16.9%
Yes
No
Not Sure
Source: NC OneMap Data Inventory 2004
Note: Percentages based on the actual number of respondents to each question 8
Value as part of cultural heritage
Note: Percentages based on the actual number of respondents to each question 9
Data Quantity
County Digital Orthophotos88 counties with, estimated 154 flights by 2006Estimated 30 gb/flight – 4.6 TB total
County, City, COG Vector DataVariable mix of layers; some continuous update92 of 100 counties with GIS systems51 municipalities with GIS systems
State Agency Data1993 and 1998 statewide orthos – 800 gbTerabytes of vector data and other imagery17-20 TB of LIDAR data
Note: Percentages based on the actual number of respondents to each question 10
NC OneMap Initial Data Layers Produced by Cities and Counties
0%
20%
40%
60%
80%
Ortho Cadastral Roads Municipal Bnd.County Bnd. ETJs Surface Waters ElevationLand Use Airports Schools UniversitiesHospitals Storm Surge Police Stations Fire StationsLandfills Watersheds Wetlands Hazardous Disposal SitesBuilding Footprints Future Land Use Water Lines Sewer Lines
Source: NC OneMap Data Inventory 2004
Note: Percentages based on the actual number of respondents to each question 11
Content Organization (tiling, etc.)
State agency data Vector data: statewide, river basin, quarter quadrangles, countiesImagery: quarter quadrangles, local images
County dataVector data: county, tax map unitsOrthophotos: tax map units, county mosaicsIncreasing: spatial databases (SDE, PostGIS, etc.)
Municipal dataVector data: city, tax map units
Note: Percentages based on the actual number of respondents to each question 12
Metadata
FGDC CGDSM implemented by major state GIS agencies starting in 1994NC CGIA Metadata Outreach: regional workshops, phone support, training materialsAdoption
Some adoption by county agencies (21 of 92 county GIS systems as of Spring 2004)Some adoption by municipal agencies and COGS (13 of 51 municipal GIS systems by Spring 2004)Rare adoption by private, university, NGO’s
Note: Percentages based on the actual number of respondents to each question 13
Local Agency Geospatial Metadata
0%
10%
20%
30%
40%
50%
60%
70%
FGDC-CompliantInternally DefinedData DictionaryNone/ Not Sure
Source: NC OneMap Data Inventory 2004
Note: Percentages based on the actual number of respondents to each question 14
Versioning and Updating
OrthophotosCounty digital orthophotos reflown every 2-7 yearsStatewide digital orthophoto plan: every 5 years (alternating B&W and color infrared)
Vector DataState agency vector data: some static, some periodically updated, relatively fewer continuously updatedCounty/City/COG vector data: many data layers continuously or periodically updatedOld versions supplanted, exist on relatively inaccessible backups
Note: Percentages based on the actual number of respondents to each question 15
Time series – vector dataParcel Boundary Changes 2001-2004, North Raleigh, NC
Note: Percentages based on the actual number of respondents to each question 16
Content Use
Much sharing between agencies (all levels)Municipal agencies use county data (orthos, centerlines, parcels) as base layersState and federal agencies use local data to improve their own data (linework adoption/improvement or attribute conflation)Local agencies use LIDAR (control points, etc.)Problems with different data structures, naming, coding schemes (e.g. parcels)NC OneMap framework data standards in development
Note: Percentages based on the actual number of respondents to each question 17
Local Applications Where GIS Is Used
0%
20%
40%
60%
80%
100%
Economic Development Emergency Management
GIS/ Mapping Planning/ Community Development
Police/ Public Safety Public Works
Utilities Water/ Waste Water
Source: NC OneMap Data Inventory 2004
Note: Percentages based on the actual number of respondents to each question 18
Knowledge Required for Use
Most data published in widely used formatsVector: shapefile, coverage, geodatabase, MIFImage: TIFF, MrSID, BIL
LIDAR data: range of early/middle/late stage products requiring different skillsSemantic issues: different naming schemes across counties; need data dictionaries and ancillary documentationEarly stage image products (e.g. pre-rectification orthos) require greater knowledge, but are not widely available
Note: Percentages based on the actual number of respondents to each question 19
Associated Applications/Web Services
Largely compatible with predominate commercial software packagesException: several counties using Understanding Systems GIS softwareNC OneMap viewer system: Cascading map server based on drawing on local/state/federal WMS sourcesGeocoding function on the NC OneMap map viewer uses the commercial geocoding web service
Note: Percentages based on the actual number of respondents to each question 20
GIS Software Used
0%
10%
20%
30%
40%
50%
60%
70%
ArcGIS (ESRI) ArcInfo (ESRI) ArcView 8.x (ESRI)
ArcView 3.x (ESRI) ArcIMS (ESRI) GenaMap
IMAGINE Intergraph MapInfo
Understanding Systems Other Not Sure
Source: NC OneMap Data Inventory 2004
Note: Percentages based on the actual number of respondents to each question 21
Note: Percentages based on the actual number of respondents to each question 22
Note: Percentages based on the actual number of respondents to each question 23
Note: Percentages based on the actual number of respondents to each question 24
Note: Percentages based on the actual number of respondents to each question 25
Note: Percentages based on the actual number of respondents to each question 26
Note: Percentages based on the actual number of respondents to each question 27
Note: Percentages based on the actual number of respondents to each question 28
Data/Metadata Workflow: Community
DataOrthophoto work contracted out to commercial firmsSome vector data contracted out (notably parcels)Most other vector data produced in-houseEarly, middle, late, and late-late stage products
MetadataMetadata published by producer, with NC Metadata Outreach Program supportMetadata published to NC NSDI clearinghouse, Geospatial One-Stop, and NC OneMap
Note: Percentages based on the actual number of respondents to each question 29
GIS Data Management
0%
10%
20%
30%
40%
50%
60%
70%
Centrally ManagedSplitNot Sure
Source: NC OneMap Data Inventory 2004
Note: Percentages based on the actual number of respondents to each question 30
County Street Centerline Specifics
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Street Centerline Attributes
Road Names Route NumbersRoad Type Road DescriptionRoad Direction Street AddressesAddress Ranges ZIP CodesNot Sure
0%
10%
20%
30%
40%
50%
60%
Source of Street Centerlines
Photo Interpretation Digitize from MapsCommercial Product GPSCadastral OtherNot Sure
Source: NC OneMap Data Inventory 2004
Note: Percentages based on the actual number of respondents to each question 31
County Cadastral Specifics
0%
10%20%
30%
40%
50%60%
70%
80%
Methods Used to Create Data
COGO Photo InterpretationDigitize from Maps GPSOther Not Sure
0%
20%
40%
60%
80%
100%
Cadastral Attributes
Owner Parcel AddressOwner Address Construction DateOwnership Type ZoningLand Use Deed/ Book/ PageAcreage Land Value# of Structures Building ValueAssessed Value None
Note: Percentages based on the actual number of respondents to each question 32
County Surface Water Specifics
0%
5%
10%
15%
20%
25%
30%
Source of Data
CGIA 1:24kCGIA 1:100kUSGS 1:24k DLGUSGS 1:24k DRGPrivate ContractorDelineated from Locally-Produced OrthoElevation DataOtherNot Sure
0%
10%
20%
30%
40%
50%
60%
70%
Surface Water Attributes
Stream Name Stream ClassStream Order Stream TypeOther Not SureNone
Note: Percentages based on the actual number of respondents to each question 33
Data/Metadata Workflow: Project
Data identified through a mix of eight different existing inventory processesNC OneMap Inventory starting from 2004Data acquired through a variety of means
Download, WAN, CD/DVD, external drives, tapesWill experiment with OGC technologies for identification and transfer of data
Ingest existing metadata and augmentNormalize existing FDGC and create minimal if noneWrap descriptive, adminstrative, technical metadata into METS records; links to services
Note: Percentages based on the actual number of respondents to each question 34
Data/Metadata Workflow: Project
Ingest into Dspace open source digital repository software
Explore issues surrounding ingest of geospatial content into generic, widely available repository environmentsMaintain independence of preservation object from ingest object of a given repository environment
Explore re-ingest into a different repository environment – avoid “imprinting” on a single environmentExplore a mix of federal/state/local options for longer-term archiving
Note: Percentages based on the actual number of respondents to each question 35
Is Content Being Archived Now?
Records retention requirements don’t necessarily ensure preservationA wide range in practice – in general custodian and consumer energies are focus on current dataWhere archiving is occurring “permanent access” is generally not supportedA variety of different state/regional/local approaches (focus of project site visits)
Note: Percentages based on the actual number of respondents to each question 36
Integrating with NGDA?
Community: Would need to be relatively effortless and inexpensive
local GIS shops are small, strapped for staff timelong-term access is a low priorityneed automation, web services–based archive development (and GeoDRM?)Rights issues must be cleared; need to address concerns about disclaimer provision, liability, etc.
Project: Interest in exploring re-ingest into a separate repository environment
Note: Percentages based on the actual number of respondents to each question 37
Intellectual Property Rights Issues
Subject to Public Records LawPublic record: no privacy issues …… but records for some individuals may be filteredDisclaimer viewing important (liability)Restrictions on commercial reuse – desire for downstream control of data
Great deal of variability in access/use policyTrust between agencies is important; interpersonal and interorganizational relationships a key part of the infrastructure
Note: Percentages based on the actual number of respondents to each question 38
Obtaining Local GIS DataRestrict Access to Data?
29.6%
48.0%
18.4%
3.9%
Yes No Sometimes Not Sure
Restrict Redistribution of Data?
48.7%
35.5%
11.2%
4.6%
Yes No Sometimes Not Sure
Charge for Data?
53.9%
28.9%
15.8%
1.3%
Yes No Sometimes Not Sure
Source: NC OneMap Data Inventory 2004
Note: Percentages based on the actual number of respondents to each question 39
NC OneMap Data Sharing Agreements
NCCGIA working to clarify legal issues surrounding redistributionStriking MOAs with local agencies as part of NC OneMap framework for open access
One of stipulations: “…AGREE that the data shared under this agreement may be further redistributed with applicable metadata by either agency WITHOUT FEES in the public domain and without restriction, unless otherwise noted herein and/or unless otherwise subject to public laws of governing authorities …
As of 2004 MOAs distributed to 55 counties in draft form, 24 signing with option for redistribution
Note: Percentages based on the actual number of respondents to each question 40
Transition Plan for Content
NCSU/CGIA NDIIPP ProjectProject timeline: 3 years, 2004-2007Commitment to retain data 5 years after project termination
State/Regional/Local AgenciesVariableNC OneMap and other initiatives evolving Role of State Archives?
Note: Percentages based on the actual number of respondents to each question 41
Questions?
Contact:
Steve Morris
Head of Digital Library Initiatives
NCSU Libraries
Phone: (919) 515-1361