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Transcript
Enterprise Viewpoint
Tim Mackey
Web Systems Manager
Geoscience Australia
Business is the showstopper

Technical problems are easy


People, skills, time, resources
Business processes are hard





High level scepticism re “technology driven” approach
We need an elevator pitch
Challenging established systems – destroying empires
Changing legal processes (eg data licensing)
Governance
The Problem

Agency A installs technology X

X only supports restricted data formats



Format directly reflects data model of stored data
“Big Mining” wants the same data theme from
Agency A and Agency B over the same locality
This can currently only happen if:



Agency B also uses software X;
Agency B uses the same data model as Agency A, and;
These two dependencies will always remain
The solution

Feature type catalogues



Method of accessing these catalogues


Community data models (eg Geochemistry XMML)
Mechanisms/tools with which to use the community data
model
SEEGRID roadmap
All you need in your databases

Translation path from your organisation’s data model into
the community data model
Web Feature Service (WFS) gets operable
feature data from multiple servers
Each layer is data, not
merely a view:
Elevation
Cities
Country is:
_ Name: Italy
_ Population: 57,500,000
_ Area: 301,325 sq km
...
Borders
Multiple
thematic
data layers
GetFeature
request:
Carl Reed - OGC
Business Drivers

Reduce time to market

Client always gets latest data

Client goes to one place for data from multiple data sources

No need to know all of the different data sources’ locations,
access methods, formats, etc.

No need to manage other peoples’ data

Save “shop” staff time
Advancing Spatial Data Infrastructure
Via Interoperable Web Services
• Easier access to multiple online info sources and services
• Use and reuse different vendor solutions.
• Reduce
deployment costs
Queries
extract info
by reusing
from diverse
sources
information from
other communities
• Meet requirements
for client access.
• Foundation for
interoperable
service networks
Integrated View
Whoville
Buildings
Roads
Images
Targets
Boundaries
...
Cedar Lake
Whoville Cedar Lake
Catalog
View
Internet
Common interfaces enable interoperability
Gazetteer
Geoparser
Geoparser
Geoparser
Coordinate
Transform
Other
Services
Web Mapping Server, Web Feature Server, Web Coverage Server
Vendor
Data
Geocoder
Metadata
Local
Government
National
Government
Other
Collections
Data
Metadata
Data
Metadata
Data
Metadata
Catalog Services
Clearinghouse
Clearinghouse
Clearinghouse
Carl Reed - OGC
External links

Started the process and established relationships:







ASIBA IDP
ASDI
AEON
GEON
NERC Datagrid
IUGS CGI
This project provides a mechanism to understand
and share practice with other domains

Community of Practice
OGC Web Services: Computational View
Discovery
Client
Map Viewer
Client
Expl.
Client
Bind
Application Clients
Find
GML
Data
Type
Registry
Registry
Services
Data
Instance
Registry
Service
Type
Registry
Metadata
XIMA
SLD
Service
Instance
Registry
Service
SensorML Obs&Meas
Capabilities
Catalog
Image
Metadata
Encodings
Publish
WFS
Data
Services
WCS
SCS
Archives
WMS
Coverage
Portrayal
Service
Portrayal Services
Geocoding
Coord.
Transf.
Service
Processing
Services
Chaining
Gazetteer
OGC Web Services: Computational View
Discovery
Client
Map Viewer
Client
Expl.
Client
Application Clients
Find
Bind
CSIRO/SEEGrid
ASDD
GML
SEE
Grid
Data
Type
Registry
Data
Instance
Registry
Registry
Services
Service
Type
Registry
Metadata
Encodings
Catalog
WCS
Data
Services
SCS
Archives
Coverage
Portrayal
Service
Portrayal Services
QLD NRE
WA DLI
CANRI
Image
Metadata
pmd*CRC
ASIBA
WMS
SLD
Service
SensorML Obs&Meas
Capabilities
Publish
MCA/
SEEGrid
WFS
Service
Instance
Registry
XIMA
Geocoding
Coord.
Transf.
Service
Processing
Services
Chaining
Gazetteer
GA
WA DLI
DSTO
Existing policy framework

Managing IP


Copyright and licensing



Acknowledgement of the data source
at the destination
Data is freely available
We still need to know who is using it
Business process


Workflow
Data management
Governance

Feature type catalogues


Conformance



Who defines the standards? How are they changed?
Repository management


Who manages the business process?
Who is responsible? What are the rules?
Community standards and support technologies
Hosting of services and standards


What is the level of availability required?
Defining an SLA?
Issues to discuss

“Big Mining” is now reliant on external 3rd parties for
its information systems. How does it gain sufficient
confidence in SEEGRID for that to happen?


Is an SLA sufficient? With whom?
Who has governance responsibility for the various
components after this demonstrator?


Registries
Feature Type Catalogues
More issues to discuss

Rights management – how big an issue is it for your
organisation?

Acknowledgement of data source in derived
products?

Chaining services

how do we manage indemnity and liability?