SSA - Evidence Based Planning - Sport and Recreation Spatial

SSAs- Evidence Based Planning
Rochelle Eime
VicHealth Research Practice FellowPhysical Activity
[email protected]
Background history of project
• VicHealth research practice fellowship- 2011-2015
• Aim: Data analysis to inform growth in sport participation in Victoria
• VicHealth, SRV, VicSport
• Spatial mapping of data
• Helen Thompson, Paul Feely- Centre for eCommerce and Communications (UB)
• Aust. Sports Commission/VU collaborative partnership2012-2013
• Funding for spatial mapping and statistical support
• Development of business plan- Competitive Edge 2013
Sport and Recreation Spatial
• The first Victorian and National data collection,
management, knowledge and research system to
inform program and policy decision making for the
national sport and recreation sector in the areas of
participation, facilities and health
• Includes a repository of sport and recreation data
• To become Australia’s leading provider of
innovative and pragmatic research, to assist
the sports and recreation sector and
government, optimise the development of
participation programs, facilities, and
community health and wellness
• Provide leading-edge GIS/spatial know-how and research
techniques to measure the impact of current sports industry
on health, community wellness, facilities and future sports
• Collaborate with universities, Government, health agencies
and sports organisations to create a sustainable repository of
national data to inform future knowledge and policy for sport
and recreation industry
• Facilitating and delivering leading edge research and
development to determine the relationship between sports,
recreation and exercise participation, facilities and a healthy,
educated society and community
Key Areas
• Participation levels and trends
• Influences on participation
• Value of sport: health benefits of participation
• Places to play: nexus between facilities and participation
• Development of Indicators
• Exercise, Sport and Recreation Survey (ERASS)
• Sport participation data- SSA’s
– Player, coach and official
– Over 2 million records to date
• Sport and recreation facility data
• Population demographics
• Population projection data
• Health data
• Currently 8 Victorian State Sporting Associations
Football Federation
Lawn Bowls
Different levels of use
• Organisations directly use the GIS to spatially
visualise and analyse
– sector-wide data
– their own data
– derived and customised indicators
• Knowledge and evidence to inform program and
policy developments
• Demonstration and training
• Sector level research
• Centralised sport and recreation data repository
• Collaborative project with sport, health, university and government sectors
• Economic benefits of one data management and research system for sport and
recreation sector
• Geographical Information System- spatially visualise and analyse data
• Knowledge and evidence to inform program and policy development
• Ability to respond in proactive rather than reactive manner
• Integration of large datasets
• Standardised data
• Derived and customised indicators
• Capacity building of sector through training workshops
• Research capabilities
• Translation and dissemination of sector-wide research
Benefits for sport sector
• Participation and membership
– Participation trends, penetration and influences on participation
• Player development
– Talent development trends and influences
• Infrastructure
– Plan infrastructure development
• Coach and umpire development
– Target coach and umpire development strategies
• Marketing
– Understanding of participation and population and programs for targeted
• Schools
– Relationship between school based strategies and community participation
• Finance
– Where best to invest for player, coach, facility developments
– Ability to evaluate investments
Benefit for Government
• Quality data for the sport and recreation sector to make
informed program and policy decisions to grow participation
• Consistency of data and data reporting across sector
• Measure key objectives of growing sport participation
• Nexus between participation and health
• Focussing on partnership approaches
• Ensuring a long term strategic approach applicable across
• Adopting the ethos of continuous improvement and evidence
based policy and practice
Participation numbers- Postcode
- Demographic breakdowns
Participation filters
Yearly total participation- LGA
Yearly participation rate- LGA
Details of participation
Participation- use of the data
Changes in participation- previous year
Population projections
Population projections
Planning for change, future
Details of facilities
Participation and SEIFA
Health- Obesity
Collection of data
• Reason for data collection
– Membership collection
– Insurance
– Informing decisions
– Internal and external reporting
• Good data in- good data out
Collection of data
• Accuracy of data
– Single ID records
• How to achieve this?
– Complete data
• How is data collected?
– Individual versus club/team
– Online participant systems
– Integrated data management systems
• Player, coach and umpire
• Within and between organisations
– Repeated collection of data –season/year
• Turning data into knowledge
Data to be collected
Participant, coach and official/umpire
Lowest common denominator
Date of birth
– Potential only collect once
Residential address
– Consistency- electronic drop-down
• Year
• Level of accreditation
• Other target groups
Making the most of the data
• What do you do with your date?
• What would you like to do with your data?
• Consistency
– Collection, data management, reporting
– Cubs, leagues, SSAs, NSO
• Cleaning data
• Analyse based on priorities
– What are they?

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