AN ORGANISATION FOR A NATIONAL EARTH SCIENCE INFRASTRUCTURE PROGRAM Why build an Earth Science...
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Transcript of AN ORGANISATION FOR A NATIONAL EARTH SCIENCE INFRASTRUCTURE PROGRAM Why build an Earth Science...
AN ORGANISATION FOR A NATIONAL EARTH SCIENCE INFRASTRUCTURE PROGRAM
Why build an Earth Science Information Network?
Dr Robert Woodcock
AuScope Grid - Director
2
?
Commonwealth
State
Local
Regional
Industry
Research
bedrock
surficial
mineral
geochemical
geochronologic
hyrdrogeological
Geo-information
geophysical
With acknowledgement to Boyan Brodaric, Natural Resources Canada
Decisions, decisions…?
decision makersknowledge base
3
Don’t you hate it when…………………..
• You have to keep and maintain versions of someone else’s data, and you don’t know if it’s correct or outdated?
• You know there’s useful information out there, but you cannot find it?
• You waste valuable time downloading and converting datasets?
• You can see the data you want on a web map but you can’t download the real data for analysis?
GeoScience Victoria:vision for data delivery
Kathy Hill, Director GeoScience Victoria
• Not ideal complex, rich data must be duplicated and modified to deliver to web with current GIS tools
‣‘flatten’ or group data‣inefficient process, potential to add errors
presents a cut-down (compromised) version of data holdings
multiple formats for different vendors (eg. ESRI, MapInfo)
Current information delivery
6
Current data interfaces
Provider defined clients and formats
Provider delivers tosingle clients
User accesses single provider
Dat
a P
rovi
ders
MRT
GA
GSV
NTGS
Users
7
Data Structures
Proprietary Software
Versions of Software
Client
Part of our problem…data access is not standardised across organisations
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The problem runs deeper…information is part of a workflow across organisations
decision making
Resource Assessment
geohazards
inundation
hazard potentialhazard uncertainty
Earthquake locationEarthquake magnitude
Policy
buildings
bathymetry
geophysics
Seismic
Community Info
Environment
Geo-information
• vulnerability, risk cost Human Facility Economyloss Environment
Risk Assessment
Tsunami risk mapIntegrated Assessment
resource assessment modeling vulnerability, risk
assessment modelingintegrated assessment
modeling
Tsunami emergency response
geohazards
Town planninginundation
Vulnerability, risk
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Integration of observations, models, simulation… deeper still
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It’s all to hard
AN ORGANISATION FOR A NATIONAL EARTH SCIENCE INFRASTRUCTURE PROGRAM
What is an Information Network?
Data sharing, applications, discovery and access
12
Coherent Accessible Infrastructure
1: Concepts 2: Data Acquisition
3: Data storage & access
4: Research
5: Knowledge Delivery
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AuScope Community Agreements
Client
A solution: Open standards based earth science information infrastructure
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Standards
“Standards are like toothbrushes – everybody wants to use one but nobody wants to share it”
–Francois Robida, BRGM
“Interoperability seems to be about integration of information.
What it’s really about is the coordination of organizational behaviour”
–David Schell, OGC
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Applications:It’s not about you…it’s about them.
GIS
Standard format
Report
Simulation and Modelling
WMS WFS
GSV
GA
MRT
NTGS
Dat
a P
rovi
ders
16
What hat do you wear? Consumer, Provider or both!
Provider
ConsumerStandardise Information modelsStandardise the Query interface
Do not change my internal operations dramatically (including databases)Should not second guess the consumers workflow
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WMS GetMap returns a server’s “dumb” JPEG, GIF or PNG representation of the data on the server. It does NOT return the actual data, only a bitmap of the data.
WMS can’t “give data away.”
Roma
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Multiplethematic
data layers
GetFeaturerequest:
Web Feature Service (WFS) gets operable feature data from multiple servers
Cities
BordersElevation
Each layer is data, not merely a view:Country is:• Name: Italy• Population:
57,500,000• Area: 301,325 sq
km. . .
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Portrayal vs AnalysisSimple vs Community Schemas
Data can be easily exchanged within communities where meaning is understood and humans are involvedProperty = temperature, (only) Value = ’15-20’
For use in wider communities more precise definitions are required that reflect the complexity of the real worldProperty = temperature,
Value = 15 Unit = C Instrument = thermometer Value = 17 Unit = C Instrument = thermometerValue = 20 Unit = C Instrument = thermometer
Agreement at an international level enables data to be reused, repurposed and used by other domains globally
AN ORGANISATION FOR A NATIONAL EARTH SCIENCE INFRASTRUCTURE PROGRAM
Building an Earth Science Information Network
…locally for access nationally and globally…to provide access to authoritative, high quality, data and information…to enable reuse and repurposing of data and information…to integrate with other national and state network initiatives
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1st Step: Standardise the Information Models
•Not a storage problem…–Exchange
•Semantics and structure–GeoSciML, OGC
•Tool support–Creation and validation
Geography Markup Language
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GML
Client
WMS WFS
WMSWFS
WMSWFS
WMS WFS
GeoSciML
GeoSciML
GeoSciML
GeoSciML
WMS WFS
GeoSciML
GSV
GA
NTGS
PIRSA
MRTMRT mapping
GeoSciML Benefits
GeoSciML Format
PIRSA mapping
NTGS mapping
GA mapping
GSV mapping
Data to GeoSciML Schema mapping
OGC Services
Dat
asou
rces
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Systems(Data Services)
Syntax(Data Language)
Schematic (Data Structure)
Semantic(Data Content)
interoperability
Current ‘World’
Organisation specific
Few standards
Access, Excel,Proprietary GIS
Files, DVD, CD
GeoSciML
Controlled
Vocabularies
GML, XML
WFS, WMS, WCS
GeoSciML ‘World’
Interoperability Requirements
Geoscience community
OpenGIS community (OGC)
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Schematic Agreement
Victoria
South Australia
lithology
RockMaterial
consolidationDegree
compositionCategory
geneticDescription
lithology:ControlledConcept[1..*]
27
Cainozoic?
Palaeozoic?
Archaean?
Bolindian?Eastonian?Gisbornian?
Late?Early?
Semantic Agreement Semantic Agreement • Select geologic features where age = “xxx”
Community Agreed Service Interfaces and Information Models
AuScope service catalog
Standard Vocabularies
VocabularyService
Service Registry
Discovery Layer
Exchange
Layer
Resources
Complex feature Discovery Portal
Government Department
Data
Geological SurveyWeb Feature Service (WFS)
Services status 1 June 2008
URN ResolverService
XX
XX X
XX
X
Community Agreed Service Interfaces and Information Models
AuScope service catalog
Standard Vocabularies
VocabularyService
Service Registry
Discovery Layer
Exchange
Layer
Resources
Complex feature Discovery Portal
Government Department
Data
Geological SurveyWeb Feature Service (WFS)
Services status 1 June 2009
URN ResolverService
Application EffortComments
GeoServer
- Easiest to configure- Australian community and support- Ongoing AuScope development (next 1.25 years)- Commercial support available- Will meet needs of most users
Deegree
- Tricky to configure, requires XSLT skills- Will meet most GeoSciML use-cases- Suitable for users serving complex data
GIN Mediator
- Overkill for most users and complex to deploy and configure- Powerful solution for users with non-OGC or non-community WFSs
WFS ImplementationSummary
Installation Configration (WFS)Data mapping Configuration (XSLT)
Key (Effort)
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The Carbon Project ‘Gaia’ client
AuScope Grid
• gives us a way to make science communication and collaboration easy in real time
• scientists won’t have to battle the data before they do science – they can just use it!