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  • Quick NZGOAL guide for agencies (January 2015)

    IntroductionThe New Zealand Government Open Access and Licensing framework (NZGOAL) is government guidance for agencies to follow when releasing copyright works and non-copyright material for re-use…

  • 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.

  • Consultation and submissions summary: draft algorithm charter

    A summary of the responses Stats NZ received during the public consultation on the draft algorithm charter.

  • 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.

  • Development of NZGOAL

    The State Services Commission and the Department of Internal Affairs led work to develop the New Zealand Government Open Access and Licensing framework (NZGOAL), which was…

  • Principle 4: Wairua & Mauri

    Principle 4: Clear purpose and action. This principle includes ngā tikanga Wairua (spirit or soul of a person) and Mauri (life principle or force).

  • 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…

  • 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…

  • Land Cover Database

    The Land Cover Database (LCDB), available to users of the Land Resource Information System (LRIS) portal offers environment data held by Landcare Research for re-use in GIS and mapping applications.

  • How do we really bring the Charter to life?

    At the second community of practice hui, attendees brought their real experiences with the Algorithm Charter so they could share what had worked, what hadn’t, and, most of all, what they had learnt along the way.

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