comsis: a statistical information system for evidence-based planning
DESCRIPTION
COMSIS: a Statistical Information System for evidence-based planning Office of Economic and Statistical Research (OESR) Queensland Treasury. COMSIS: Department of Com munities S tatistical I nformation S ystem. Presentation outline. OESR Statistical Information Systems (SIS) - PowerPoint PPT PresentationTRANSCRIPT
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COMSIS: a Statistical
Information System for
evidence-based planning
Office of Economic and Statistical
Research (OESR)
Queensland Treasury
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COMSIS:
Department of Communities Statistical Information System
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Presentation outline
• OESR Statistical Information Systems (SIS)
• What is COMSIS?
• Demonstration
• How is COMSIS being used?
• Three take home messages
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OESR Statistical Information Systems (SIS)
• OESR developing SIS since 1992 (QRSIS – public)
• Three SIS components:
Data
− social, demographic and economic indicators
− usually freq counts or rates (not unit record)
− 488 collections, 47,000 unique series
Time series
− where possible data collected over time
Geography
− Small-area (SLA/LGA) based on ASGC (2006)
• Website: www.oesr.qld.gov.au
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What is COMSIS?
• In 2005, Qld Dept of Communities (DoC) developed an evidence-based planning framework – NBPRAF.
• Concept – use data (quant & qual) as evidence to ensure best allocation of resources to priority need.
• Small area data from QRSIS excellent starting point, but DoC needed.….
1. Data presented on DoC regions
and
2. Specific administrative data from other agencies
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What is COMSIS?
1. Data presented on DoC regions
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What is COMSIS?
2. Specific administrative data from other agencies
• Exisitng data + DoC ‘wish list’ of admin data
• OESR acted as data broker
Examples:
COMSIS admin collection Source agency
Births to teenage mothers (15-19 yrs) Qld Health
Substantiated notifications - child abuse Department of Child Safety
Crim convictions - custodial sentences Justice & Attorney-General
Yr1 students did not attend preschool Department of Education
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What is COMSIS?
Define data and concordance
Gather (broker) data
COMSIS - Database query tool
COMSIS -Regional profiles
COMSIS - Thematic
maps
Load Data
Shared SIS database
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Demonstration
COMSIS – Database query tool
Scenario: DoC Officer in Cairns working on an Indigenous adolescents program would like to determine target pop.
– Screenshots
Benefits
– Easy-to-use
– New data automatically concorded to DoC regions
– DoC access to previously inaccessible Qld Govt admin data (and load own)
– Ability to ‘drill down’ to small-area geographies
– Print, or export data tables for further anlysis
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Demonstration
COMSIS - Regional profiles
Scenario: DoC Officer in Noosa would like a quick demographic profile Sunshine Coast to use in a planning report.
– Screenshots
Benefits– Easy-to-use
– Provides a quick informative snapshot of region
– Tables, charts and analysis automatically updated with latest statistics from database – always current
– Consistency in reporting across agency
– Significant time and cost savings
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Demonstration
COMSIS - Thematic maps
Scenario: DoC Officer in Bris working on migrant support services would like to identify communities with high proportion of o/s born persons.
– Screenshots
Benefits
– Easy-to-use
– Presents spatial distribution of indicators
– Quick visual identification of clusters or ‘hotspots’
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How is COMSIS being used?
DoC examples
– Development of needs scores to identify SLAs of greatest risk/need
– Modelling need using synthetic estimation (matching SLA variables with CD level predictors)
– Regional offices using for funding proposals
– Input to Govt Regional Plans (Blueprint for the Bush)
– DoC Evidence Groups – program strategies
– Mapping services against need (supply/demand)
– For research projects (Impact of Poverty report)
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How is COMSIS being used?
Other Agencies using SIS’s
– Disability Services Queensland
– Department of Tourism, Regional Development and Industry
– Office of Child Safety
– Parliamentary Library
– Department of Natural Resources and Water
– Department of Education Training and Arts (in development)
Hope to encourage other service delivery agencies
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Three take home messages
1. Govt agencies can/will make evidence-based decisions – data accessible and relevant
2. Govt agencies can/will share admin (statistical) data – need for trusted broker
3. Small-area data crucial - building blocks for customisation