western alliance regional data collaboration
TRANSCRIPT
Centre for eResearch and Digital Innovation
Federation University Australia
Western Alliance Regional Data Collaboration18 July 2016
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
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
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CeRDI
A variety of applications:groundwater , soils, agriculture, biodiversity, fire, history, sports, municipal, etc.
Allows integration of cross-disciplinary data sets
spatial.federation.edu.au
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
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
How do I view participant count?
How do I view participation rate by gender & age?
How do I view participation change over time?
Where do I find the region summary?
How do I benchmark regions?
How can I view the number of facilities for a region for my sport?
Can I view actual facility locations?
What is SEIFA & what options are available?
How can I find population projections?
Can I share the map with others?
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.
Regional differences
Age profiles- % of all participants
Age (years)
Participants (%)
Male(%)
Female(%)
Metro.(%)
Non-Metro. (%)
4 1.3 0.5 1.7 1.5 0.95-9 19.9 17.1 21.5 21.5 17.0
10-14 27.6 32.1 25.6 28.1 26.715-19 15.3 15.8 15.1 14.7 16.520-24 8.8 7.8 9.1 9.0 8.525-29 6.1 5.4 6.3 6.3 5.830-34 4.1 3.8 4.2 4.0 4.235-39 3.0 3.5 2.8 2.9 3.440-49 5.0 6.0 4.6 4.9 5.250-59 2.5 2.5 2.6 2.3 3.060-69 2.6 2.6 2.6 2.0 3.870+ 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
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
Sports Facilities• Participation rate is positively associated with provision of facilities
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.