Privacy in PLIDA

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PLIDA maximises the use of data while keeping it safe and secure. The ABS uses a privacy-by-design approach to ensure privacy protection principles and procedures are applied across all levels of the data integration process. Privacy protections are assessed at three levels which are outlined below.

An image showing how privacy protections are applied across system, asset and project levels.

An image showing how privacy protections are applied across system, asset and project levels. It is made up of three columns of different colours, one for each of the levels. It also includes text boxes that span the different columns to show the protections that are applied to each level.

At the system level, privacy protections are applied to ensure data integration infrastructure and arrangements appropriately safeguard the data system and address privacy risks. These include:

  • Privacy Impact Assessment
  • the application of the Five Safes Framework
  • periodic updates of the Privacy Impact Assessment for PLIDA
  • ongoing program of security audits and system accreditations
  • governance processes and accountabilities
  • data handling practices.

At the asset level, privacy protections are applied to support use and expansion of the PLIDA data asset while keeping data safe and secure. These include:

  • Privacy Impact Assessment
  • the application of the Five Safes Framework
  • Data Minimisation Principle
  • Separation Principle
  • Functional Separation
  • periodic updates of the Privacy Impact Assessment for PLIDA
  • ongoing program of security audits and system accreditations
  • transparency measures
  • governance processes and accountabilities
  • data handling practices.

At the project level, privacy protections are applied to integrated data projects requiring use of the data in the PLIDA asset. These include:

  • Privacy Threshold Assessment
  • Privacy Impact Assessment
  • the application of the Five Safes Framework
  • Data Minimisation Principle
  • Separation Principle
  • Functional Separation
  • transparency measures
  • governance processes and accountabilities
  • data handling practices.

Principles for considering new datasets and data types included in PLIDA

Strategic priorities of PLIDA include expanding the data asset and ensuring responsible use of data.

As the PLIDA asset evolves, we will uphold a privacy-by-design approach to ensure PLIDA data is used responsibly and for the benefit of all Australians.

When looking at including new datasets and data types in PLIDA, we consider:

  • the public benefit of the data
  • the utility of the data
  • sensitivities or restrictions related to the data
  • the safety of the data.

We assess these principles for all new datasets and data types proposed to be linked with PLIDA. This includes both once-off and enduring linkages.

We will assist data custodians to identify where improvements can be made to address the principles.

Public Benefit

Utility

Sensitivities or Restrictions

Safety