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  • Background and Context

    A cross-government working party developed the plan, using a prioritisation framework. The development was overseen by the Information Group.

  • 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…

  • Updated GSV standard

    On 22 April 2021, Stats NZ released an updated Statistical Standard for Gender, Sex and Variations of Sex Characteristics.

  • 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…

  • Mandated standards candidates selected for Māori business, ethnicity, Māori descent, and iwi affiliation

    Standards that will become mandatory for government departments have been selected for Māori business, ethnicity, Māori descent and iwi. Read more about what standards have been selected and next steps here.

  • Having trouble finding the info you need?

    Recently, we took some of your feedback and drafted some changes to the structure of our website. Before we confirm these changes, we want to make sure that they help you find the information and guidance you need to support your data practice. 

  • Principle 3: Wānanga & Kaitiaki

    Principle 3: Use good data standards and practices. This principle includes ngā tikanga Wānanga (organisations) and Kaitiaki (guardians).

  • Category: Save/Destroy

    The following tables show the capabilities in one the 7 possible categories (i.e., capabilities get repeated across the categories as applicable). This view is useful if…

  • Operational data governance

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

  • A more viable approach to capturing data maturity

    If data maturity assessments are to be of value as a business tool, they must express their results with clarity, meaning, and relevance to the executive leadership responsible for investment decisions. With this in mind, we propose a high-level and qualitative model.

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