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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)
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COMSIS: a Statistical Information System for evidence-based planning Office of Economic and Statistical Research (OESR) Queensland Treasury
COMSIS: Department of Communities Statistical Information System
Presentation outline • OESR Statistical Information Systems (SIS) • What is COMSIS? • Demonstration • How is COMSIS being used? • Three take home messages
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
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 otheragencies
What is COMSIS? 1. Data presented on DoC regions
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
What is COMSIS? Define data and concordance Gather (broker) data Shared SIS database LoadData COMSIS - Database query tool COMSIS -Regional profiles COMSIS - Thematic maps
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
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
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’
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)
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
Three take home messages • Govt agencies can/will make evidence-based decisions – data accessible and relevant • Govt agencies can/will share admin (statistical) data – need for trusted broker • Small-area data crucial - building blocks for customisation