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  • Proposed core capabilities

    A brief description of each of the 10 capabilities developed for the ooperational Data Governance Framework (oDGF). This description was written by Kevin Sweeney and published…

  • Privacy for open data

    It is important that you always consider the impacts of publishing your data upon privacy. On this page, we discuss the nature of risk and the options you have to address it. 

  • Ngā Tikanga Paihere

    Ngā Tikanga Paihere draws on 10 tikanga (Te Ao Māori/Māori world concepts) to help you establish goals, boundaries, and principles that guide and inform your data practice.

  • Video transcript: Liz MacPherson

    Kia ora koutou, I’m Liz MacPherson, Government Statistician and Chief Executive of Stats New Zealand, New Zealand’s official data and statistics agency.

    My role as Government Statistician…

  • New Zealand adopts the International Open Data Charter

    Read about the adoption of the International Open Data Charter by the New Zealand Government.

  • Grammar and punctuation

    The rules and guidelines for punctuation and grammar on data.govt.nz - these aim to increase the accessibility, readability, and usability of information.

    On this page

    Exclamation marks
    Colon and…

  • Background and context

    This page lays out the reasons behind the refreshed Government Sytem Strategy and Roadmap for Aotearoa NZ. It provides background context for the development of the refreshed strategy and roadmap and previous versions of the Government Data Strategy and Roadmap.

  • Institute of Environmental Science and Research inspired by the Algorithm Charter

    The Institute of Environmental Science and Research Ltd (ESR) has developed a Responsible AI Framework guided by the Algorithm Charter for New Zealand. Read more about it here.

  • Government Data Strategy and Roadmap 2021

    The refreshed Data Strategy and Roadmap for Aotearoa NZ, commissioned by the Government Chief Data Steward and published by Stats NZ in September 2021.

  • Understanding data confidentiality

    Data confidentiality relates to whether individuals, households, or businesses can be identified within the data.

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