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  • Guidance note 6

    SummaryNZGOAL guidance notes1. NZGOAL is the New Zealand Government Open Access and Licensing framework. NZGOAL guidance notes either explore issues raised in NZGOAL or address operational…

  • Q3 Data leadership dashboard - March 2019

    Stats NZ's dashboard for March 2019 quarter which highlights key deliverables for its data leadership role under the Government Chief Data Steward function.

  • Discussion paper: An international example of data ethics advisory

    Published on 07 June 2020.

    Discussion paper - An international example of data ethics advisory - March 2020 [PDF, 926 KB]

    Purpose and scopeThis paper has been prepared…

  • 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 do you create a data dictionary?

    Learn about the decisions you need to make before creating a data dictionary and the tools that might help. Explore examples of data dictionaries published by…

  • 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…

  • 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.

  • Open data workshop hosted by Stats NZ

    The workshop featured 6 lightning talks on a range of open data topics, followed by discussions on open data gaps and barriers to releasing and accessing open data.

  • MarineMate app

    The app contains: Tide timetables using the Nautical Almanac from Land Information NZ, Boat ramps, 5 knot zones, mooring zones, etc from each council Notices to Mariners from each council and from Land Information NZ, Bylaws from each council.

  • Navigating ethical dilemma in education data: The story of the EQI

    Data driven technology seems to unlock opportunities. Yet it poses new types of risks, from bias and transparency challenges to issues of consent and data sovereignty.

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