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  • 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…

  • Meeting summaries (2023)

    The minutes for each meeting of the Data Ethics Advisory Group, grouped by date, are summarised here.

    23 November 2023
    2 October 2023
    22 August 2023
    21 June 2023
    23 May…

  • How we write - our voice

    Voice and tone, writing style, and spelling define the look and feel of written information. 

    On this page

    Voice and tone
    Active and passive writing
    Frequently asked questions (FAQs)
    Scannable content
    Spelling
    References
    Voice…

  • Automating dataset updates

    Data.govt.nz adopted an international data harvesting open standard (data.json) to automate agency dataset updates and additions. There are tools available to help generate the correct format and the open standard data schema is detailed with examples.

  • NZGOAL Software Extension

    Background

    Ministerial press release: Guidelines unlock govt software for innovation
    Loomio discussion: NZGOAL Software Extension
    Case study: NZGOAL Software Extension consultation process
    Consultation archive and analytics report | data pack
    NZGOAL software extension…

  • NZGOAL-SE guidance note 2

    Getting started

    Don’t repeat yourself

    Where and how to publicly release your code?

    What to include in your first code release

    Working in the open

    Safe configuration practices

    Release early and often

    Version…

  • New videos explore 'Are data taonga?'

    New videos by Stats NZ brings panellists together to examine and debate Māori perspectives about the way we collect, share, and use data. 

     

  • Algorithm Assessment Report

    This report summarises the self assessments of fourteen government agencies and their use of algorithms, focusing on areas that most directly impact decisions related to people.

    Algorithm…

  • Our content strategy – why we’re here, and what we want to do

    In January 2019, we published the content strategy and style guide for data.govt.nz. We'd love to get your feedback.

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