SPATIAL DATA SUPPLY CHAINS

IN AUSTRALIA & NEW ZEALAND

Overlaps, Gaps and Opportunities

Maurits van der Vlugt

Spatial Information Strategist

OVERVIEW Problem Statement (“Why this Project?”)

Spatial Data Supply Chains (“Why do you Care?”)

Project Approach (“How did we do it?”)

Outcomes (“What did we find?”)

Next Steps (“What now?”)

SDI: DELIVERING FUNDAMENTAL SPATIAL DATA FOR DECISION MAKING

Common Reference Framework

Reliable

Consistent

Authoritative

CRITICAL ENABLER

Spatial Data Supply Chains (SDSC) Multi Source Consistent, Reliable Automated, Flexible,

Distributed

E.g. PSMA’s G-NAF, BoM’s GeoFabric Source: CRC-SI

WHAT MAKES A GOOD SDSC?

Single Point of Truth;

Continuously updatable from multiple sources;

“Supply Views”;

Version Management;

Automated Update and Distribution;

Automated Input (sensors or VGI).

HOWEVER…

Myriad of initiatives

In relative isolation

Re-inventing wheels

Duplicating Effort

Can we improve this?

SDSC ALIGNMENT STUDY

Identify SDSC initiatives in ANZ

Comparative Analysis

Gaps and Overlaps Re-usable components? Joint R&D and investment opportunities?

APPROACH

1. Quick Scan of relevant initiatives

• Review ANZ Initiatives

• Analysis Framework

• Review & Analyse

• Scientific Literature Review

• Identify Strategic Partners & Opportunities

• Proposal for Ph 2

2. Alignment Study

• Validation of Ph1 outcomes

• SDSC Reference Architecture

• Detailed Analysis

• Recommendations for Alignment and Collaboration

• Input to Research Agenda

• Proposal for Demo Projects

3. Collaborative Demo Project

• Public-Private• Working

demonstrator• Contributions

to standards processes

• IP development

OUTCOMES

37 Project approached, 32 Responses

Largely Government

Only 7 Automate entire supply chain

50% in pre-production stages

Only 6 out of 32 having a full, long term sustainable governance framework in place

BUSINESS DRIVERSBusiness Driver

# of Project

s (N=32)

Maintain a consistent, authoritative dataset to support evidence based decision making

10

Meet statutory obligations 9Improve data access & sharing across organisations

8

Improve efficiency & reduce duplication

5

Publish data for scientific research

4

Improve value & service to stakeholders

3

Improve data quality 1

Audience

# of Project

s (N=32)

Government agencies 25

Public organisations and business groups

14

Scientific Community 10

General Public 6

DOES THE PROJECT/SYSTEM HAVE:

0

5

10

15

20

25

30

35

Don't Know

No

Yes

SYSTEM MATURITY

6

10

6

8

2In production, withGovernance Framework

In production

Prototype/trial

Under development

Other

‘BEST OF BREED’ PROJECTS

Automated Publish Maintain Extract

Mature In production

SHORTLIST FOR PH2 ANALYSIS

LINZ Data Service

Maori Land Geographic Information System

PSMA Systems

SISS - Spatial Information Services Stack

SLIP Enabler

The Australian Hydrological Geospatial Fabric (Geofabric)

VSDL - Victorian Spatial Data Library

CONCLUSIONS Status of SDSC:

Infancy Supply Driven Developed in Isolation

Capability Gaps Automation Maturity Standards

Plenty of Opportunity for Collaboration re-use of components Joint investment and R&D

NEXT STEPS

Integrate QLD & NSW in Ph 1 Analysis

Ph 2 : from early 2012 Detailed analysis of shortlisted

projects Reference Architecture R&D Agenda Scope collaborative demo

project

THANK YOU – QUESTIONS?

Acknowledgements CRC-SI (Kylie Armstrong, Mary Sue Severn)

Project Participants

More Information Http://www.crcsi.com.au/Research/Program-3/SDI-Alignment-Study Maurits.vandervlugt@mercuryps.com.au