Synthetic Priority Investment Approach Data, 2001-2015

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Department of Social Services; Data61, 2017, "Synthetic Priority Investment Approach Data, 2001-2015", https://doi.org/10.4225/87/FASD1J, ADA Dataverse, V1

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Description	The Australian Priority Investment Approach to Welfare (PIA) policy initiative was established as part of the 2015-16 Budget, following a comprehensive review of Australia’s welfare system. The initiative uses data analysis to identify groups at risk of long-term welfare dependence. These analyses provide insights into how the system is working and uses those insights to find innovative ways of helping more Australians live independently of welfare. As part of the PIA, in September 2016, the Minister for Social Services announced a plan to allow limited public access to PIA data. A synthetic version of the PIA data has been created for use by researchers and teachers. The synthetic data relates to individuals who have made a claim for, are receiving or have received payments or services administered under social security law and family assistance law. This includes benefit types such as Aged Pension, Youth Allowance, Newstart and Disability Support Pension. The synthetic data contains a limited number of variables suitable for research, while maintaining the privacy and confidentiality of individuals. The synthetic dataset has been created by applying a privacy-preserving algorithm on the original PIA data. This process results in each person’s true data being modified such that the overall group data very closely represents that of the original dataset, yet no one individual’s data can be identified in the synthetic dataset. That is, each line of data that would normally represent an individual no longer does. The dataset is a combination of synthetic records that, when combined, reflect the shape of the original dataset. The synthetic PIA data contains a series of point-in-time quarterly snapshots dated from July 2001 to June 2015. This results in 56 separate quarters of administrative data. Each quarter includes 31 variables (available in the ‘PIA Data Dictionary – Variable and Codes’ file) that are consistent across all quarters. There are approximately 5 million individual records in each quarter.
Subject	Social Sciences
Keyword	Family allowances, Public administration, Social policy, Social welfare
Notes	The Synthetic PIA Data files are loaded as 56 separate zipped .csv files to reduce the user’s required resources for download. Please note, software programs like Excel are not recommended for use with the Synthetic PIA Data files due to the limitation of 1,048,576 rows. That is, the full dataset with approximately 5 million records will not load in Excel.
License/Data Use Agreement	Custom Dataset Terms

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	PIA Data Dictionary - Variable and Codes.XLSX.zip ZIP Archive - 60.4 KB Published Dec 18, 2017 320 Downloads MD5: d40e728087a06dd6dc045f51e12c7e3b PIA Data Dictionary - Variable and Codes for Synthetic Data of the Priority Investment Approach (PIA) dataset (*.XLSX format) DocumentationSyntheticPIA	Access File File Access Public Download Options ZIP Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	Synthetic_Data_User_Guide.pdf Adobe PDF - 469.0 KB Published Dec 18, 2017 346 Downloads MD5: 0a1bdc01444c1fe6ef1fd09072d8b317 User guide for the PIA Synthetic Dataset DocumentationSyntheticPIA	Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX
	synthetic_pia_csv_qtr_2001-07-01.csv.zip ZIP Archive - 81.8 MB Published Dec 18, 2017 128 Downloads MD5: f3826852645667124281074c1f285dd9 Synthetic PIA data file - 2001 Q3 - CSV format DataSyntheticPIA	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	synthetic_pia_csv_qtr_2001-10-01.csv.zip ZIP Archive - 82.0 MB Published Dec 18, 2017 92 Downloads MD5: de98cb09214a381a09b11d15e8273a29 Synthetic PIA data file - 2001 Q4 - CSV format DataSyntheticPIA	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	synthetic_pia_csv_qtr_2002-01-01.csv.zip ZIP Archive - 83.2 MB Published Dec 18, 2017 86 Downloads MD5: 2bffbb309fe32386adbec84be4c05a49 Synthetic PIA data file - 2002 Q1 - CSV format DataSyntheticPIA	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	synthetic_pia_csv_qtr_2002-04-01.csv.zip ZIP Archive - 82.0 MB Published Dec 18, 2017 83 Downloads MD5: e4ddab812feebf6405f3355b03a6fd9c Synthetic PIA data file - 2002 Q2 - CSV format DataSyntheticPIA	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	synthetic_pia_csv_qtr_2002-07-01.csv.zip ZIP Archive - 81.6 MB Published Dec 18, 2017 82 Downloads MD5: 60187b1cee17e22717f3ed0106bcbbeb Synthetic PIA data file - 2002 Q3 - CSV format DataSyntheticPIA	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	synthetic_pia_csv_qtr_2002-10-01.csv.zip ZIP Archive - 82.6 MB Published Dec 18, 2017 85 Downloads MD5: b71ca3dbf6878937ee647dbeeb795fc1 Synthetic PIA data file - 2002 Q4 - CSV format DataSyntheticPIA	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	synthetic_pia_csv_qtr_2003-01-01.csv.zip ZIP Archive - 83.6 MB Published Dec 18, 2017 81 Downloads MD5: c8567e4e08f0847a55f36210dd251eb5 Synthetic PIA data file - 2003 Q1 - CSV format DataSyntheticPIA	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
	synthetic_pia_csv_qtr_2003-04-01.csv.zip ZIP Archive - 83.8 MB Published Dec 18, 2017 79 Downloads MD5: da82a2282eca1d74cb6c4a0bf52bdfa2 Synthetic PIA data file - 2003 Q2 - CSV format DataSyntheticPIA	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.4225/87/FASD1J
Publication Date	2017-12-18
Title	Synthetic Priority Investment Approach Data, 2001-2015
Other Identifier	ADA: 01444
Author	Department of Social Services (Australian Government) Data61 (Australian Government)
Point of Contact	Use email button above to contact. Australian Data Archive (Australian National University)
Description	The Australian Priority Investment Approach to Welfare (PIA) policy initiative was established as part of the 2015-16 Budget, following a comprehensive review of Australia’s welfare system. The initiative uses data analysis to identify groups at risk of long-term welfare dependence. These analyses provide insights into how the system is working and uses those insights to find innovative ways of helping more Australians live independently of welfare. As part of the PIA, in September 2016, the Minister for Social Services announced a plan to allow limited public access to PIA data. A synthetic version of the PIA data has been created for use by researchers and teachers. The synthetic data relates to individuals who have made a claim for, are receiving or have received payments or services administered under social security law and family assistance law. This includes benefit types such as Aged Pension, Youth Allowance, Newstart and Disability Support Pension. The synthetic data contains a limited number of variables suitable for research, while maintaining the privacy and confidentiality of individuals. The synthetic dataset has been created by applying a privacy-preserving algorithm on the original PIA data. This process results in each person’s true data being modified such that the overall group data very closely represents that of the original dataset, yet no one individual’s data can be identified in the synthetic dataset. That is, each line of data that would normally represent an individual no longer does. The dataset is a combination of synthetic records that, when combined, reflect the shape of the original dataset. The synthetic PIA data contains a series of point-in-time quarterly snapshots dated from July 2001 to June 2015. This results in 56 separate quarters of administrative data. Each quarter includes 31 variables (available in the ‘PIA Data Dictionary – Variable and Codes’ file) that are consistent across all quarters. There are approximately 5 million individual records in each quarter.
Subject	Social Sciences
Keyword	Family allowances (APAIS) http://www.vocabularyserver.com/apais/index.php?tema=829 Public administration (APAIS) http://www.vocabularyserver.com/apais/index.php?tema=1749 Social policy (APAIS) http://www.vocabularyserver.com/apais/index.php?tema=2011 Social welfare (APAIS) http://www.vocabularyserver.com/apais/index.php?tema=2022
Notes	The Synthetic PIA Data files are loaded as 56 separate zipped .csv files to reduce the user’s required resources for download. Please note, software programs like Excel are not recommended for use with the Synthetic PIA Data files due to the limitation of 1,048,576 rows. That is, the full dataset with approximately 5 million records will not load in Excel.
Language	English
Producer	Department of Social Services (Australian Government) (DSS) https://www.dss.gov.au/
Distributor	Australian Data Archive (Australian National University) (ADA) http://ada.edu.au
Distribution Date	2017-12-18
Depositor	Neuendorf, Annette
Deposit Date	2017-11-24
Time Period	Start Date: 2001-07-01 ; End Date: 2015-06-30
Date of Collection	Start Date: 2001-07-01 ; End Date: 2015-06-30
Data Type	Synthetic data
Related Dataset	Priority Investment Approach Dataset: Unit record level data of the original PIA data is available to eligible users via a secure, password-protected online remote access research gateway. This access point enables users to analyse linked datasets remotely via Secure Unified Research Environment (SURE) through the Australian Institute of Health and Welfare (AIHW). Information regarding this access is available on the AIHW website. Application packs can be requested from pia.dataset@aihw.gov.au; TableBuilder: A subset of the PIA data is hosted on the Australian Bureau of Statistics’ (ABS) TableBuilder data analytics tool. TableBuilder allows public users to create tables that display aggregate (or group level) data from a subset of the PIA dataset without ever seeing unit record data. Information regarding this access is available on the ABS website. Registration is available at http://abs.gov.au/registration.

Geospatial Metadata

Geographic Coverage	Australia
Geographic Unit	Country

Social Science and Humanities Metadata

Unit of Analysis	Individual
Universe	The Synthetic Data relates to individuals who have made a claim for, are receiving or have received payments or services administered under social security law and family assistance law. This includes benefit types such as Aged Pension, Youth Allowance, Newstart and Disability Support Pension.
Time Method	Time series
Frequency	Quarterly
Sampling Procedure	No sampling - total population
Collection Mode	Compilation or synthesis of existing material
Weighting	None
Response Rate	Not applicable
Notes	Note Funding The generation of these synthetic datasets was funded through the National Innovation Science Agenda (NISA) - Data61 Platforms for Open Data Program.

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License/Data Use Agreement

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom terms specific to this dataset Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.

1. I acknowledge that I will not distribute, share or disseminate any of the files available from this page.

2. I also acknowledge that synthetic data is not suitable for the purpose of preparing population estimates.

3. I agree that if requested by Department of Social Services or Australian Data Archive, I will delete all versions of the synthetic data that I have access to.

By submitting an access request, I am agreeing to these Terms and Conditions of Use

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