Western Alliance Academic Health Science Centre is a partnership of Deakin University, Federation University Australia and 11 health service providers operating across the western region of Victoria. It aims to strengthen existing collaborations by formalising relationships between the partners that have been sustained over the history of the region’s settlement and development. On 18 July 2016 Western Alliance partners came together for a Regional Data Collaboration Scoping Workshop. This presentation was provided to demonstrate data infrastructure models that have been established in domains outside of health by Federation University Australia's Centre for eResearch and Digital Innovation. The spatial data and knowledge management infrastructures that underpin CeRDI research partnerships was outlined. Two case studies were also presented - Online Farm Trials Research and Sport and Recreation Spatial.

1. Centre for eResearch and Digital Innovation
Federation University Australia
Western Alliance Regional Data Collaboration
18 July 2016

2. Research Domains:
Groundwater
Soil
Agriculture
NRM
Climate change
Urban planning
Health
History
Sports
Social science
Arts
Etc., etc.
Technology & services:
Content management
Web portals
Knowledge management
Single source publishing
Web GIS
Data interoperability
Visualisation
Web services
Training
Servers, hubs
Survey instruments
Etc., etc.
Research outputs:
Real world applications
Community empowerment
Capacity building
Government
Community
Industry
Research
Research papers
HDR completions
Impact assessment
Global collaborations
Sector development
Research-ready datasets
Etc., etc.
x =
eResearch and Digital Innovation

3. Third party e.g. ABARE, ABS, BOM, CSIRO, EPAs, Unis, ………State base mapping, etc.
Water agencies, research organisations, industry, individuals, etc.
End users, e.g. Browser, mobile application, desktop application, groundwater model, etc.
Used by: researcher, community group, farmer, environmentalist, media outlet, agribusiness, etc.
Output as:
web services (W3C, OGC
compliant)
Input as:
Data, map layers, grids, text
and imagery in native
format (or web services)
Citizen science
 Landcare,
environmental and
community groups
 landholders,
farmers, individuals
 tourists, visitors
 schools, TAFE,
University students
 clubs, volunteers
GIS
SQL
Sensors
Images
Documents
Organisational
data
Sounds
Data Interoperability and Participatory approaches

4. CeRDI
4
A variety of applications:
groundwater , soils, agriculture, biodiversity, fire, history,
sports, municipal, etc.
Allows integration of cross-disciplinary data sets
spatial.federation.edu.au

5. Online Farm Trials – www.farmtrials.com.au
 GRDC funded – currently 3,000+ trials, 29 custodians, over 20+ years across
911 trial sites across Southern, Northern, Western regions of Australia
 Major crop types – Barley 400, Canola 350, Chickpeas 100, Lentils 60, etc
 Averaging 200 unique visitors a day
 Documentary film about OFT www.farmtrials.com.au/documentary
 Spatial filtering and selective keyword filtering
 Brings in climate data and soils data on-the-fly
 Allows data exports, API
 Decision support tool for agronomists & growers
 Research-ready data sets of all grain trials

9. Sport and Recreation Spatial
Background
• Investigating sport and recreation participation and
facilities, and health for evidence-based decision making
for the Sport and Recreation Sector
• Sport and Recreation Victoria
• VicHealth
• 7 State Sporting Associations 2011-2015
• Increasing to 11-15 State Sporting Associations 2015-2018
• Currently over 2.6 million participant records
• Integrated sector level reports, individual tailored sport
reports and peer-review publications

10. How do I view participant count?

11. How do I view participation rate by
gender & age?

12. How do I view participation change over
time?

13. Where do I find the region summary?

14. How do I benchmark regions?

15. How can I view the number of facilities for a
region for my sport?

16. Can I view actual facility locations?

17. What is SEIFA & what options are
available?

18. How can I find population projections?

19. Can I share the map with others?

20. Participation levels and rates
• Club membership for 5 major sports rose by more than 50,000 over three
years
• Increased from 417,975 to 468,944
• Proportion of population participating in these sports
• From 7.5% to 8.3% of population
• Males non-metro. highest participation rate 64%
• Increase 2010-2012 mainly non-metro.

21. Regional differences

22. Age profiles- % of all participants
Age
(years)
Participants
(%)
Male
(%)
Female
(%)
Metro.
(%)
Non-Metro.
(%)
4 1.3 0.5 1.7 1.5 0.9
5-9 19.9 17.1 21.5 21.5 17.0
10-14 27.6 32.1 25.6 28.1 26.7
15-19 15.3 15.8 15.1 14.7 16.5
20-24 8.8 7.8 9.1 9.0 8.5
25-29 6.1 5.4 6.3 6.3 5.8
30-34 4.1 3.8 4.2 4.0 4.2
35-39 3.0 3.5 2.8 2.9 3.4
40-49 5.0 6.0 4.6 4.9 5.2
50-59 2.5 2.5 2.6 2.3 3.0
60-69 2.6 2.6 2.6 2.0 3.8
70+ 3.6 3.0 3.9 2.8 5.1
Age profiles of registered sport participants:
percentage of total sport participants
• Most (64%) aged <20 years
• A third (28%) aged 10-14 years
• 20% aged 5-9 years

23. Transition
• More children withdrew from their
modified sport program rather than
transitioning
• 68% of children withdrew immediately
after the base year/season
• The peak age of transition to club
competition for females was 10 years,
compared to 7 years for males

24. Sports Facilities
• Participation rate is positively associated with provision of facilities

25. Interest Group on Agricultural Data
IGAD meeting, Paris, September 2015
International data interoperability standards
Groundwater Interoperability Experiment 2 (GW2IE)
Soil Data Interoperability Experiment (Soil IE)
Collaborators include: CSIRO, European Commission, US Department Agriculture, World Soil
Information (ISRIC), Food and Agriculture Organisation (FAO), Landcare Research NZ,
Geological Surveys of US, Canada, France, Germany, New Zealand, Poland, UK, etc.