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  • Automating dataset updates

    Data.govt.nz adopted an international data harvesting open standard (data.json) to automate agency dataset updates and additions. There are tools available to help generate the correct format and the open standard data schema is detailed with examples.

  • What metadata should I include with my dataset?

    Metadata describes your dataset to others in a standardised way. Having good quality metadata helps people discover and use your dataset. This guidance provides a description and examples of good practice metadata when releasing on data.govt.nz.

  • 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,…

  • Local councils

    Localcouncils.govt.nz presents data from New Zealand’s 78 local authorities, in a consistent format that enables it to be compared and analysed.

  • About data.govt.nz APIs

    The metadata and many datasets on data.govt.nz are available for use via an Application Programming Interface (API). When using our API you need to know what you can and cannot do with the data and where to find technical documentation.

  • Grammar and punctuation

    The rules and guidelines for punctuation and grammar on data.govt.nz - these aim to increase the accessibility, readability, and usability of information.

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    Colon and…

  • Infoshare

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

  • Environment Canterbury Public Transport Open Data

    In May 2005, Environment Canterbury began releasing public transport data for re-use. The data includes route details, bus stop locations, scheduling details, as well as the real time bus estimated time of arrivals (ETAs).

  • Homes.co.nz - Helping Kiwis make smart property decisions

    An online property tool that gives homeowners an easy and free way to search for property data.

  • Data dictionary

    Data dictionaries are useful information to include alongside your datasets. They help describe the elements and values contained within your data to help users reuse it. A simple data dictionary can be created quickly and should include a few key piece of information.

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