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  • Discussion paper: International data ethics frameworks

    Published on 07 June 2020.

    Discussion paper - International data ethics frameworks - March 2020 [PDF, 296KB]

    Purpose and scopeThis paper has been prepared on behalf of the…

  • Managing people’s requests to correct data you hold about them

    If you collect information about people you may get requests to correct that information. Knowing your responsibilities and having a system for managing corrections will improve data quality and ensure your legal responsibilities are fulfilled.

  • The system strategy

    This page lays out the refreshed system strategy for the government data system of Aotearoa NZ. The strategy was published as part of the data system strategy and roadmap 2021.

  • Summary paper: Holistic data governance

    A high-level summary of the approach to data governance that guides implementation of the operational Data Governance Framework and use of Steady State Data Flow mapping.…

  • Content review checklist

    As content strategists, we need to ensure the current and enduring value of all content. We perform regular content reviews and audits to do this.

    Review frequenciesEvery…

  • 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.

  • Lists

    We follow rules and guidelines when using bulleted and numbered lists on data.govt.nz to make sure that you can easily understand both their purpose and meaning. 

    Purpose…

  • 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…

  • Data.govt.nz upgrade – Thursday 18 November

    On Thursday 18th November at 8pm we'll be releasing an updated version of data.govt.nz. This will result in a very brief outage to the website and…

  • Measuring FAIR Principles compliance

    GNS Science has quantitatively assessed the FAIR Principles compliance of 50 high-value geoscience datasets. This benchmark is the starting point of a roadmap towards further improvements in FAIR compliance.

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