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  • What is a data dictionary?

    Learn the basics about data dictionaries. What are they, what do they look like, and what could they include?  

    Having a conversationA data dictionary is a conversation…

  • 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…

  • Formats for open data

    Machine and human readable formats, such as PDF, CSV, and XLS, ensures that you maximise the value of your open data while complying with open government data and information policies.

  • Economic indicators

    Economic indicators data is regularly released by Statistics NZ. Most of these indicators are updated on a quarterly and annual basis.

  • New Zealand Data and Information Management Principles

    On 8 August 2011 government approved new principles for managing the data and information it holds. These replace the 1997 Policy Framework for Government held Information.

    Cabinet…

  • 2006 Census

    The census is one of New Zealand’s most important data sources. Statistics NZ released aggregated, confidentialised data from the 2006 Census including information on age, ethnicity, income, workplace, dwelling size and other variables.

  • Infoshare

    Infoshare, a self-service open online data tool on Stats NZ’s website, contains over 30 million aggregated, confidentialised, time-series data.

  • Meeting summaries (2019 - 2022)

    Summaries of meetings of the Data Ethics Advisory Group.

  • 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.

  • Controlling access to your data to keep it safe

    Protecting the confidentiality of information people supply is essential to retaining public trust and confidence in the system. Without cooperation, willingness to provide data can be too low and threaten its accuracy or the usefulness.

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