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  • Data confidentiality principles and methods report

    The data confidentiality report which looks at best practice principles and methodology-related content, produced by Stats NZ.

  • NZGOAL Software Extension

    Background

    Ministerial press release: Guidelines unlock govt software for innovation
    Loomio discussion: NZGOAL Software Extension
    Case study: NZGOAL Software Extension consultation process
    Consultation archive and analytics report | data pack
    NZGOAL software extension…

  • NZGOAL training videos

    Have you ever wondered what NZGOAL is and how it applies to you or how it can benefit you?

    Do you work for a government agency and…

  • 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…

  • Algorithm Assessment Report

    This report summarises the self assessments of fourteen government agencies and their use of algorithms, focusing on areas that most directly impact decisions related to people.

    Algorithm…

  • Thundermaps - Staying safe from hazards around you

    An app that aims to make workplaces safer by showing nearby dangers, so employees can be prepared and keep themselves safe.

  • A more viable approach to capturing data maturity

    If data maturity assessments are to be of value as a business tool, they must express their results with clarity, meaning, and relevance to the executive leadership responsible for investment decisions. With this in mind, we propose a high-level and qualitative model.

  • The framework by capability

    All 25 capabilities together, in no particular order. This view is useful if you want to get a complete view of the framework and the capabilities, regardless of their categories.

  • Creating a steady state data flow map

    A detailed set of guidelines for creating a steady state data flow map

  • Why create a data dictionary?

    A data dictionary describes your data. It describes the choices made about column names, codes, methods, or sampling. It enables anyone to better find, understand, reuse,…

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