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  • Thanks for your input: September 2018 data.govt.nz community feedback results

    We look at the latest results from the data.govt.nz community feedback survey, to find out what works for you, what doesn't, and how we can improve the experience of using data.govt.nz.

  • 2006 Census

    The census is one of New Zealand’s most important data sources. Statistics NZ released aggregated, confidentialised data from the 2006 Census including information on age, ethnicity, income, workplace, dwelling size and other variables.

  • 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…

  • Algorithm assessment report 2018

    A cross-government review, undertaken in 2018, of how government uses algorithms to improve the lives of New Zealanders.

  • 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 (2019 - 2022)

    Summaries of meetings of the Data Ethics Advisory Group.

  • A framework and processes for opening data

    NZTA has been developing a simple open data framework and processes to help them release open data, and would love your feedback.

  • Data capability assessment questionnaire

    This questionnaire complements the guide to ensure the best use of the Data capability framework. Look through the guide first, as it will cover the purpose of the framework and the context for its use.

  • Guidance note 3

    This guidance note:

    (a)  sets out suggested paragraphs for insertion into requests for proposals, requests for tenders and requests for quotes (Notices of Procurement) that seek the…

  • Futurology: trends in AI

    The Centre for Data Ethics and Innovation challenged their esteemed friend Dr Bruce Tsai and his co-author Dr Ben Smith to read and interpret current emerging trends in order to foresee what the future could look like.

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