The Priority Investment Approach is a new way of looking at the welfare system. It applies data analysis to provide insights into how the system is working and uses those insights to find innovative ways of helping more Australians live independently of welfare. The PIA dataset is one of the datasets that underpin the Australian Priority Investment Approach to Welfare, funded by the Try, Test, Learn Fund. For more information on these initiatives, please visit the DSS website.
The Australian Priority Investment Approach Longitudinal Income Support Administrative dataset is a longitudinal social security dataset extracted from the Department of Human Services (DHS) Enterprise Data Warehouse (EDW). This dataset holds a significant amount of information including de-identified, sensitive, and personal information about individuals. The dataset contains longitudinal quarterly data from July 2001 to June 2015. The administrative data has been collected for the purpose of recording the service delivery activities to account for the expenditure of government revenue in the form of payments and services. Demographics data has been collected as administrative data items that are related to the eligibility rules for a specific benefit.
Streamlined access arrangements are in place and access will be provided on a case-by-case basis. Applicants will need to submit all relevant documentation from the application pack for review by AIHW before a Public Interest Certificate will be issued by DSS. Application packs can also be requested from [email protected].
Please note that access to the dataset is currently provided via the Sax Institute’s Secure Unified Research Environment (SURE) .
Accessing the dataset via SURE will incur a nominal cost. Pricing is variable and can be tailored for a variety of budgets. Please also note that within SURE you will only have access to the PIA dataset. External datasets cannot be brought into SURE without explicit approval from the AIHW. Similarly, any outputs you wish to extract from SURE will need to be approved by the AIHW.
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