1900.0 - Data Integration Project Register, Australia  
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 16/10/2020  First Issue
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Projects:
Using linked data to investigate non-response due to COVID-19
Using administrative data to inform impact of COVID-19 crisis on businesses
International student data to MADIP
Administrative data research into improving income statistics
Multi-location businesses project
Comparing Census and administrative data for the Aboriginal and Torres Strait Islander population
BLADE - Business Characteristics Survey weights
Understanding the quality of Labour Force data in the Census
Outgoing Telephone Contact Feasibility Test
AIHW/ABS Interoperability Project
Trade analysis feasibility project
Regression analysis of linked data
Proof of concept for National Crime and Justice Data Linkage project
Use of Big Data to produce Agricultural Statistics
Evaluating the quality impact of name encoding on data linkage
Census Dwelling Occupancy and Imputation
Tax Data Quality Studies
ABS Address Register
ABS Business Register and Common Frame creation
Local Government Finance Quality Study




USING LINKED DATA TO INVESTIGATE NON-RESPONSE DUE TO COVID-19

Commencement date: April 2020
Project status: In progress

Project Summary

This exploratory project will use linked data to investigate non-response and collection mode choice for Labour Force Survey, Survey of Income and Housing and General Social Survey data during suspension of face-to-face interviews due to COVID-19. This work is exploratory and will be used to assess the benefit that could arise from using administrative data to help correct for survey non-response by household characteristics.


Benefits

This project will assist in maintaining the quality of statistics by using administrative data to assess whether the weighted survey sample is representative of household characteristics in the populations of interest. The data collected by the Labour Force Survey, Survey of Income and Housing and General Social Survey during the COVID-19 pandemic will be valuable for current policy decisions related to the labour market and households, and for economic and social research in future.


DatasetData Custodian

Multi-Agency Data Integration Project Basic Longitudinal Extract, 2011-2016 (2011-2016 Cohorts)

- Census of Population and Housing (2016)
- Personal Income Tax (2010-11 to 2015-16)
- Pharmaceutical Benefits Scheme (2011 to 2016)
- Social Security and Related Information (2011 to 2016)
Australian Bureau of Statistics


- Australian Bureau of Statistics
- Australian Taxation Office
- Department of Health
- Department of Social Services

- ABS Monthly Population Survey sampling frame (April 2020)
- ABS Survey of Income and Housing sampling frame (April 2020 to June 2021 sample)
- ABS General Social Survey sampling frame (2020 sample)
Australian Bureau of Statistics




USING ADMINISTRATIVE DATA TO INFORM IMPACT OF COVID-19 CRISIS ON BUSINESSES

Commencement date: 11 May 2020
Project status: In progress

Project Summary

The pilot study aims to examine whether electricity data could be used to enhance or bolster ABS economic statistics, or to produce more timely indicators that would be of value in the context of disruptions due to COVID-19.

Benefits

The advantages of using electricity consumption data are the coverage and ability to show timely changes. Analysis of electricity consumption data can complement other household and economic statistics in supporting evidence-based policy making in the current uncertain environment. The data also presents unique opportunities to expand and enhance ABS’ suite of statistical products.


DatasetData Custodian

Address Register Common Frame (February 2020)Australian Bureau of Statistics

ABS Business Register Common Frame (March 2020)

ABS Business Register Locations Dataset (2018-2019)
Australian Bureau of Statistics

Jemena electricity data (1 January 2020 to 31 May 2020, 1 January 2016 to 31 May 2016)Jemena Electricity Networks

CitiPower electricity data (1 January 2020 to 31 May 2020, 1 January 2016 to 31 May 2016)CitiPower



Publications/Results

2/10/2020 - Using electricity data to understand COVID-19 impacts, 2020 (cat no. 4661.0)



INTERNATIONAL STUDENT DATA TO MADIP

Commencement date: February 2020
Project status: In progress

Project Summary

This project uses international student data from the Provider Registration and International Students Management System and Department of Education, to assess the quality of existing linkage to migration data on the MADIP person linkage spine (‘the spine’). It will determine the feasibility of using international student data to enhance coverage of the spine, with the possibility of birthing new units onto the spine. The data will be integrated as a once-off linkage.

Benefits

Spine quality is important for improving linkage rates for all research projects seeking to link into MADIP, in particular, projects seeking to understand migrant populations. Improving spine coverage and quality will lead to better analysis and policy outcomes.


DatasetData Custodian

Multi-Agency Data Integration Project (MADIP)

- Personal Income Tax (2010-11 to 2015-16)
- Social Security and Related Information (2010/11 to 2015/16)
- Medicare Enrolments Database (2011 to 2016)
Australian Bureau of Statistics

- Australian Taxation Office
- Department of Social Services

- Department of Health

Extraction from the Provider Registration and International Students Management system (2016 to 2019)Department of Education



ADMINISTRATIVE DATA RESEARCH INTO IMPROVING INCOME STATISTICS

Commencement date: 17/04/2019
Project status: In progress

Project Summary

This project is researching how linked administrative data could improve the Household Income and Expenditure Survey (HIES) and the Census.

The project links data from the 2015-16 HIES to the Multi-Agency Data Integration Project (MADIP) integrated asset (specifically Census, personal income tax, and social security data). The linked data will not form part of the enduring MADIP asset.

The research is investigating the potential of these data to:
    • Improve the collection of data to reduce the cost and burden on the taxpayer and respondents
    • Supplement the range of income statistics the ABS provides to the Australian community
    • Improve the quality of income data collected in the HIES and the Census

Benefits

Information on personal and household income is critical to informing the planning and delivery of Government and community services, business decisions and academic research. Better data means better decisions to improve the lives of Australians.

The project will provide public value through:
    • Potential improvement of the quality of ABS income statistics
    • Potential reduced costs for the ABS’ Household Survey Program
    • Understanding of potential new statistical solutions based on linked administrative data, contributing to better policy outcomes and more targeted public spending


DatasetData Custodian

Census of Population and Housing (Census) 2016
Household Income and Expenditure Survey (HIES) 2015-16
Australian Bureau of Statistics

Payment Summaries Data (PAYG) 2015/16, 2016/17
Personal Income Tax (2010/11 -2015/16)
Australian Taxation Office

Social Security and Related Information (SSRI) 2016Department of Social Services




MULTI-LOCATION BUSINESSES PROJECT

Commencement date: 29/03/2019
Project status: Complete

Project Summary

Multi-location businesses tend to report their business activity from their head office. As a result, business data is heavily biased to the location of the head office, when in reality much of the business activity may be taking place elsewhere around Australia. This leads to an unknown number (and location) of business locations associated with these large, complex businesses, making it difficult to accurately estimate the count and location of business premises across Australia.

This project aimed to take the first steps towards resolving this problem.

This project evaluated the use of the Multi-Agency Data Integration Project (MADIP) (specifically Census and personal income tax data) and the ABS Business Register to determine whether Census business location information (noted down by people on their Census form) can provide some insights into the multiple locations of large businesses.

The project was for internal research and development purposes only.

Benefits

More accurate business location information may provide governments and researchers with a better understanding of the drivers of economic activity across Australia. Policy makers and researchers will be able to undertake analysis on the location information and composition of businesses and will also be able to track the growth and decline of businesses and their locations from Census to Census, enabling a better understanding of the direct regional effects of structural changes in the economy.


DatasetData Custodian

2016 Census of Population and Housing
ABS Business Register
Australian Bureau of Statistics

Personal Income Tax (2015-16)
- Income Tax Returns; and
- Payment Summaries (PAYG)
Australian Taxation Office


Publications/Results

The project has successfully demonstrated the utility of Census business location information to help inform the multi-location business problem. In particular, analysis of the linked file has enabled the identification of approximately 600% more business locations (at the SA2 level) for multi-location businesses than what appear on the ABS Business Register.

The output from the report will be passed to the Business Register Unit (BRU) to help assist them with their FY 2019/20 project to spatially enable and improve location information on the ABS Business Register.



COMPARING CENSUS AND ADMINISTRATIVE DATA FOR THE ABORIGINAL AND TORRES STRAIT ISLANDER POPULATION

Commencement date: 25/03/2019
Project status: In progress

Project Summary

Aboriginal and Torres Strait Islander population estimates are critical to the formation of government policy aimed at improving outcomes for this important population. Because of the challenges in sourcing data of sufficient quality, these estimates are currently updated only once every 5 years based on incoming Census data.

This project is a feasibility study to assess the potential of the Medicare Voluntary Indigenous Identifier (MVII) data to support Aboriginal and Torres Strait Islander population estimates. The project links the 2016 Medicare Enrolments Database (MEDB) population to the 2016 Census of Population and Housing to compare MVII with Indigenous status data from the 2016 Census. This project is an important step in building confidence in the MVII data for population estimation.

This project uses anonymised IDs to protect the privacy of individuals.

Benefits

Improved and more frequent estimates should result in better targeting of government funds to relevant regions and communities around Australia.

This feasibility work continues ABS efforts to uncover potential for improved and more frequent updates of these estimates, which represent a long-standing information gap.


DatasetData Custodian

2016 Census of Population and HousingAustralian Bureau of Statistics

Medicare Enrolments Database (MEDB): Medicare Voluntary Indigenous Identifier (MVII) data 2015-16Department of Human Services




BLADE - BUSINESS CHARACTERISTICS SURVEY WEIGHTS

Commencement date: 09/11/2018
Project status: In progress

Project Summary

This project will investigate the feasibility of integrating survey weights from the Business Characteristics Survey (BCS) to an extract of the Business Longitudinal Analysis Data Environment (BLADE). The aim of this is to allow the production of BCS estimates by some BLADE data items. For example, BCS data is nominally output by Industry Division and Employment size, however this project may allow outputs to be produced using non-BCS BLADE data items such as derived Turnover from BAS data.

Note that this project is a feasibility study and thus findings may not ultimately allow for the integration of BCS weights to the BLADE asset. If it does, the integrated dataset will only be used to produce aggregated outputs for approved classification variables for internal analytical projects.

Benefits

This project supports research and analysis that feeds into innovation policy development and evaluation in Australia.


DatasetData Custodian

Business Characteristics Survey data (2006-07 to 2016-17)
BLADE extract (2001-02 to 2015-16)
Australian Bureau of Statistics




UNDERSTANDING THE QUALITY OF LABOUR FORCE DATA IN THE CENSUS

Commencement date: 23/10/2018
Project status: Complete
Completion Date: June 2019

Project Summary

This project sought to understand labour force reporting in the 2016 Census and the August 2016 Labour Force Survey. The ABS will use the results of this project for internal improvement processes.

Benefits

Insights from this work will inform the design of the 2021 Census.


DatasetData Custodian

Labour Force Survey (August 2016)Australian Bureau of Statistics
2016 Census of Population and Housing Data




OUTGOING TELEPHONE CONTACT FEASIBILITY TEST

Commencement date: 02/10/2018
Project status: In progress

Project Summary

This project will assess the technical and operational feasibility of contacting ABS survey respondents using outgoing telephone or SMS contact, and will evaluate use of telephone number databases, such as the Telstra Sensis and Integrated Public Number databases, for use in field operations of the ABS household survey program.

Benefits

More efficient and effective data collection will minimise costs, and reduce burden on households selected in ABS household surveys, by reducing the number of visits to respondents' homes.


DatasetData Custodian

Address RegisterAustralian Bureau of Statistics
Monthly Population Survey

Telstra SensisTelstra Sensis

Integrated Public Number DatabaseAustralian Communications Media Authority


Publications/Results

As this work is intended to improve operational efficiency of data collection, no publications are planned.



AIHW/ABS INTEROPERABILITY PROJECT

Commencement date: 06/08/2018
Project status: Complete

Project Summary

The ABS and the Australian Institute of Health and Welfare (AIHW) together with the Commonwealth Department of Health and Victorian Department of Health and Human Services are working together to explore ways to connect the integrated data assets held by ABS and AIHW to create enhanced research datasets without needing to duplicate the data integration work already undertaken. The mechanism for achieving this is referred to as interoperability. Interoperability would enable, subject to relevant approvals, in-scope data held by the AIHW or in state agencies where the AIHW has created linkage keys to be combined with data held by the ABS.

In the first phase of this project, the AIHW and ABS created an interim interoperable spine using the common elements of the Medicare Enrolments Database held at each agency. In the second phase, these linkage keys have been used to assemble a file of combined Victorian community health and MADIP data to enable research for Victorian policy development. The third and final stage prepared a business case exploring data integration operability options and for maintaining an enduring interoperable linkage asset beyond 30 June 2020.

Benefits

If interoperability achieves sufficient quality, AIHW and ABS will be better placed to combine data assets for approved research projects, and could do so in a way that enhances privacy, minimises duplication and data transfer.


DatasetData Custodian

Census of Population and HousingAustralian Bureau of Statistics

Medicare Enrolments Database (ABS)
Medicare Enrolments Database (AIHW)
Department of Human Services

Social Services and Related InformationDepartment of Social Services

Victorian Community Services DataVictorian Department of Health and Human Services




TRADE ANALYSIS FEASIBILITY PROJECT

Commencement date: 22/05/2018
Project status: In progress

Project Summary and Benefits

This project will assess the value of emerging methods and technologies for combining different data sources in order to maximise the usefulness of public sector data, and produce useful information to help inform key policy and research questions, such as around performance and innovation in Australian exporting businesses.

This project will be internally assessed with learnings to help inform any future directions – any future directions would be separately advertised.


DatasetData Custodian

ABS Australian Business RegisterAustralian Bureau of Statistics
ABS Surveys - Business Characteristics Survey, Economic Activity Survey,
Business Expenditure on Research and Development, Private Non-Profit Research & Development

Business Activity Statement
Business Income Tax
PAYG Payment Summary (aggregates only: Head count and FTE)
Australian Taxation Office

Merchandise exports data - Integrated Cargo Systems data (2013-2016)Department of Home Affairs




REGRESSION ANALYSIS OF LINKED DATA

Commencement date: 28/03/2018
Project status: Complete

Project Summary

The ABS worked with academics at the University of Wollongong to develop a program that takes into account the additional uncertainty using linked data creates in producing estimates from regression analysis. When performing regression analysis, there is always some uncertainty in the estimates produced. This uncertainty is greater in linked datasets and may produce consistent errors that over-estimate or under-estimate the measured effect (bias). This project aimed to develop a method of taking potential biases into account when analysing linked data and thus improving estimates based on linked datasets.

Benefits

By developing a method to improve regression estimates for linked datasets, the ABS will be able to:
    • Correct for biases for data linked from two sources.
    • Obtain more reliable results for analysing linked data.
    • Expand the available tools within the ABS for analysing linked data.


DatasetData Custodian

2016 Census of Population and Housing
Australian Census Longitudinal Dataset 2011-2016
Australian Bureau of Statistics




PROOF OF CONCEPT FOR NATIONAL CRIME AND JUSTICE DATA LINKAGE PROJECT

Commencement date: 27/03/2018
Project status: In progress

Project Summary

This proof of concept study investigates the feasibility of linking administrative datasets from across the criminal justice sector. It will test data integration methodologies and techniques by linking experimental datasets from police, criminal courts, corrective services, and juvenile justice (for selected states and territories only). There are no outputs to be published during this exploratory phase; the intention is to inform the development of the full project for discussion with our key clients, the Justice Boards of Management.

The project is endorsed by the Council of Australian Governments and delivered in partnership with the National Indigenous Australian Agency and the Australian Institute of Health and Welfare.

The exploratory project has been extended to also investigate the feasibility of linking selected experimental justice datasets to other non-justice datasets.

Benefits

This project will provide greater insight into the flows of persons through the criminal justice system.


DatasetData Custodian

Recorded Crime - OffendersSelected state and territory Police agencies

Criminal CourtsSelected state and territory Criminal Courts agencies

Prisoner CensusSelected state and territory Corrective Services agencies

Juvenile Justice National Minimum DatasetAustralian Institute of Health and Welfare

Personal Income TaxAustralian Taxation Office




USE OF BIG DATA TO PRODUCE AGRICULTURAL STATISTICS

Commencement date: 26/03/2018
Project status: On hold

Project Summary

The development of methods to enable greater use of Big Data for the production of official statistics has only recently started to grow. This project aims to apply and extend these methods to available ABS agricultural datasets as a proof-of-concept to determine whether the methods can be applied in the ABS context, and if they will lead to the production of more efficient official statistics.

Benefits

This project will potentially open up new sources of data for the ABS to use when producing agricultural statistics, resulting in reduced costs and respondent burden, and more frequent and a broader range of statistics.


DatasetData Custodian

Rural Environment and Agricultural Commodities Survey (2012-13, 2013-14, 2014-15)Australian Bureau of Statistics
Agricultural Census (2015-16)


Publications/Results

Shaw, S and Bell, PA (2019), “Regression data integration and constrained imputation – small domain estimation using an administrative source”, presented at September 2019 Methodology Advisory Committee meeting, Sydney, September 2019

Pham, H and L Ang (2018), “Regression Data Integration – Results From a Study to Improve the Efficiency of Survey Estimates Using Imperfect Auxiliary Datasets”, presented at November 2018 Methodology Advisory Committee meeting, Sydney, November 2018

Tam, S-M, J K Kim, L Ang and H Pham (2018), “Mining the New Oil for Official Statistics”, presented at BigSurv18: Exploring new statistical frontiers at the intersection of survey science and big data, Barcelona, October 2018



EVALUATING THE QUALITY IMPACT OF NAME ENCODING ON DATA LINKAGE

Commencement date: 22/09/2017
Project status: Completed

Project Summary

This internal ABS feasibility study investigated an appropriate method for data linkage that uses name information which is encoded as a privacy protection. The project also assessed the impact of using encoded name on data linkage quality and the ability to produce statistical insights, particularly about migrant and Aboriginal and Torres Strait Islander communities, given the high policy and research interest in these populations.

Benefits

This project will enhance the value of ABS data linkage products by supporting the implementation of best practice for name encoding and data linkage methods.


DatasetData Custodian

2016 Census of Population and HousingAustralian Bureau of Statistics

Births, Deaths, and Marriages Registrar deaths registrations (September 2016 – May 2017)State and Territory Registrars of Births, Deaths, and Marriages

Medicare Enrolments Database (2010, 2011, 2012)Department of Human Services

Social Security and Related Information (2011)Department of Social Services




CENSUS DWELLING OCCUPANCY AND IMPUTATION

Commencement date: 21/09/2017
Project status: In progress

Project Summary

This study will assess the potential of administrative data to inform more efficient data collection and improved data quality for the 2021 Census.

Key outcomes include:
    • Predicting dwelling occupancy at the time of the 2021 Census
    • Informing the imputation strategy for non-responding dwellings.

The output will be research and analysis to inform ABS decision making for the 2021 Census.

Benefits

The benefits of the project include:
    • More efficient resource allocation for the 2021 Census
    • Improved dwelling imputation for a clearer community profile
    • Filled information gap for housing policy (dwelling vacancy/occupancy rates).


    DatasetData Custodian

    Census of Population and Housing
    Address Register
    Post Enumeration Survey
    Labour Force Survey
    Australian Bureau of Statistics

    ATO Client Register
    Income Tax Returns
    Australian Taxation Office

    Social Security and Related InformationDepartment of Social Services

    Residential electricity connections and consumptionElectricity distributors in Australia

    Social Housing RegistersState and Territory Housing Authorities

    Medicare Enrolments DatabaseDepartment of Human Services



TAX DATA QUALITY STUDIES

Commencement date: 09/03/2016
Project status: In progress

Project Summary

The project will assess the quality, completeness, and coherence of taxation data with the aim of assessing taxation data’s potential to substitute, enhance, and expand the ABS statistical program.

The three broad streams of work for this project are:
    • Improving ATO data quality for statistical purposes;
    • Improving understanding of ATO data coherence and concepts; and
    • Exploring potential use of ATO data in statistical production.

Benefits

Most benefits arising from these investigations will be in regards to the data quality of taxation datasets.


DatasetData Custodian

ABS Common FrameAustralian Bureau of Statistics
ABS Survey and collection data

Business Activity StatementAustralian Taxation Office
Business Income Tax
Payment Summaries
Personal Income Tax
Single Touch Payroll




ABS ADDRESS REGISTER

Commencement date: 01/10/2013
Project status: Ongoing

Project Summary

The ABS Address Register is a current list of all physical address (both residential and non-residential) in Australia. The main input to the register is the Geocoded National Address File (G-NAF), with continuing supplementation from other available address sources and from desktop/field work undertaken by ABS officers.

Note: No personal information about residents in the addresses are collected or stored on the Address Register.

Benefits

The Address Register has enabled improved and more efficient data collection and creation of statistics, including facilitating the production of new datasets that have the potential to expand the range of official statistics to better inform Australian society in the future.


DatasetData Custodian

Canvassing data (from field and online research including imagery/mapping sources)Australian Bureau of Statistics
2016 Census Field operations data
Building Approvals

Geocoded National Address File (G-NAF)PSMA Australia
Australian Electoral Commission Land Use Code

Australia Post Postal Address FileAustralia Post

RP Data (Residential Property Sales)CoreLogic

List of Australian Public and Private hospitals
Aged care Services List
Australian Institute of Health and Welfare




ABS BUSINESS REGISTER AND COMMON FRAME CREATION

Commencement date: 30/05/2013
Project status: Ongoing

Project Summary

This project aims to maintain a high quality real-world statistical business register as the basis for coherent and integrated ABS economic data.

The ABS Business Register is a list of organisations which undertake economic activity in Australia. The data on the ABS Business Register is primarily sourced from the Australian Business Register (ABR), the Australian Tax Office (ATO) and via ABS profiling of large, and/or complex businesses, and the structural relationships between related businesses.

The key users of the ABS Business Register are ABS staff compiling economic statistics. Another integrating authority would be unable to undertake this project because of legislative constraints. The unit record information on the ABS Business Register is not available for release outside the ABS.

The ABS Business Register is an ongoing project.

Benefits

An integrated infrastructure product from which many economic collections draw their frames is vital for coherence and comparability of economic statistics.


DatasetData Custodian

Australian Business RegisterAustralian Bureau of Statistics
Collection Objects

Australian Tax Office/ABR Client Register ExtractAustralian Taxation Office
Business Activity Statement
Business Income Tax
Business Location Data
Single Touch Payroll


Publications/Results

Annual release - Counts of Australian Businesses, including Entries and Exits (cat. no. 8165.0)
This release contains counts of actively trading businesses, rates of entry to and exit from the market sector of the Australian economy, and rates of business survival. These data are sourced from the Australian Bureau of Statistics Business Register.



LOCAL GOVERNMENT FINANCE QUALITY STUDY

Commencement date: December 2012
Project status: Complete

Project Summary

The Local Government Finance Quality Study used the ABS Australian Business Register and information from State Auditor General departments to review the quality of coverage for the Local Government Frame produced by the Public Finance section at the ABS.

Benefits

This investigation confirmed the existing Local Government Frame was accurately capturing all financial activities of the local government sector.

Units that were believed to be missing from the frame were not in fact separate corporations or entities. While displaying some characteristics of separate business entities, these units were confirmed to be business activities that were reported within the constituent local councils.


DatasetData Custodian

Australian Business RegisterAustralian Bureau of Statistics

State Auditor General departments' informationState Auditor General departments




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