Skip to content

Search Results


389 results for "api basics and examples" found in website content

Can't find it? Search for datasets
  • Accessing dataset metadata via API

    Data.govt.nz's datasets, organisations and groups can be accessed and queried as JSON date through the metadata API; this page describes how.

  • 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…

  • What is open data?

    What is open data? Learn about the open data toolkit, open licences, open accessibility, and human- and machine-readability.

  • 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.

  • 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.

  • Qualities of a good open data API

    There are 15 key things you can do to ensure your data API is user-friendly.

  • Accessing machine readable data via API

    The data.govt.nz DataStore API allows you to access and query the rows and columns of raw data listed by agencies in machine readable CSV format via a JSON API endpoint.

  • Do's and dont's of using the data.govt.nz API

    Data.govt.nz's data APIs are made openly available for users and it's worth taking a moment to find out what you can and cannot do when using our APIs in your own applications.

  • Open Data Day 2019 – a New Zealand-wide event

    This year, groups from around the country took part in International Open Data Day, working on everything from writing tutorials and feedback, to building front ends, to sharing knowledge and discussing books.

  • Standards for open data

    When releasing open data it is important to use a standard to ensure your data is comparable and interoperable.

Top