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  • Data and tikanga

    Ngā Tikanga Paihere aligns with the Data Stewardship Framework, guiding good data practice and building public trust and confidence. Currently, it is used alongside the 5 safes framework to help evaluate applications to microdata at Stats NZ.

  • Accessing dataset metadata via API

    Data.govt.nz's datasets, organisations and groups can be accessed and queried as JSON date through the metadata API; this page describes how.

  • Māori Data and AI – guidance for business

    About this guidance
    This guidance is intended to be high-level, introducing basic concepts to stimulate further investigation and thinking. There are various pieces of work underway to…

  • Privacy policy

    Purpose1.  The purpose of this privacy policy is to let users of data.govt.nz (the “Site”) know when we collect personal information and what we do with…

  • An informed use of facial recognition technology by NZ Police

    Police are developing a suite of activities to ensure any emerging technologies, such as Facial Recognition Technology, are well understood, publicly accepted, and if need be, regulated. It is also critical that any impacts of technology are understood from a Te Ao Māori perspective.

  • Operational data governance

    A new approach to data governance that addresses the operational realities of data practice while maintaining strategic vision and direction. 

  • Creating a steady state data flow map

    A detailed set of guidelines for creating a steady state data flow map

  • Steady states - an overview

    An early paper on the data flow model, with a particular emphasis on how it was being implemented at Stats NZ. This paper was written by…

  • Guidance note 5

    Introduction1 When NZGOAL was first released in August 2010, it supported use of the Creative Commons 3.0 New Zealand licences. At that time, this made obvious…

  • Traditional data governance

    This page describes traditional data governance, when it is useful, and what it involves. It also highlights some of the limitations of a traditional approach to data governance.

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