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  • References

    The development of Ngā Tikanga Paihere relied heavily on the use of external key sources. We provide these key sources to help others curious about this kaupapa to explore.

  • Group guidance and commissioned reports

    Guidance provided by the Data Ethics Advisory Group.

  • LINZ Data Service

    LINZ Data Service (LDS) holds more than 40 groupings of data on New Zealand’s land and sea.

  • Data Investment Framework

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

  • Iterating data.govt.nz

    TLDR: We've updated beta.data.govt.nz, added some more data (old and new, records and hosted data) for testing, and need your feedback to help us decide whether to proceed and what...

  • Centre for Data Ethics and Innovation news and commentary: May 2025

    The following articles are from the Centre for Data Ethics and Innovation's May 2025 newsletter. The newsletter comes out quarterly, full of news, commentary, opinion, and education.

  • Busting open data myths

    Ellen Broad believes that the benefits from open data are potentially organisation changing, because of the culture that open data encourages. Open data will drive government to being more efficient and working collaboratively to solve common problems.

  • Q2 Data leadership dashboard - Dec 2018

    Stats NZ's dashboard for December 2018 quarter which highlights key deliverables for its data leadership role under the Government Chief Data Steward function.

  • Powering digital services from data.govt.nz data API - Family Services Directory

    Read about the work involved to make a machine readable version of the Family Services Directory available on data.govt.nz and how it's being used to power other digital services.

  • 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.

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