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  • The Government Data Strategy and Roadmap

    Earlier this month, the Government Chief Data Steward released the New Zealand Government Data Strategy and Roadmap – the guiding document for the government data system, outlining priorities for the next five years.

  • The Government Data Strategy and Roadmap

    The data strategy and roadmap provides a shared direction and plan for New Zealand's data system (the people and organisations that collect and use data in New Zealand).

  • Guidance note 1

    This guidance note 1 sets outs:

    suggested minimum requirements for agency website copyright statements;
    guidance on applying NZGOAL, on taking care of third party rights, logos, emblems, design…

  • Joel Gurin hangout

    In February and March 2016 Open Data NZ held a series of conversations with leading international open data experts, including Joel Gurin.

  • Mandated data standard for gender and sex

    A new mandated data standard for gender and sex was recently approved for use across the Public Service.

  • Kamo Place Race - Town planning made lean and agile

    When the Whangarei District Council’s District Planning Team started thinking about a new Town Plan for Kamo, New Zealand, they wanted to make it meaningful to the people most affected – the people who live there.

  • Guidance on information sharing

    The Government Chief Privacy Officer has published guidance to help government agencies with sharing information responsibly and legally.

  • Annual feedback survey

    Each year we invite users of data.govt.nz to complete a short survey about their experience using this website.

  • Join the Data and Digital Community of Practice

    We’re looking for a diverse group of people to join an organising committee for the Data and Digital Community of Practice to improve the New Zealand data system. Join us!

  • Assessing the accuracy of your data

    Knowing the quality of the input sources is important to ensure resulting information is fit-for-purpose. Without this knowledge the wrong assumptions could be made when transforming the data into information, jeopardising the quality of the output.

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