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  • Qualities of a good open data API

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

  • Category: Use

    The following tables show the capabilities in one the 7 possible categories (i.e., capabilities get repeated across the categories as applicable). This view is useful if…

  • How is Open Data used by social enterprises?

    Social enterprises and charities are well placed to benefit from Open Data. Unlike their for-profit contemporaries, social enterprises and charities prioritise the creation of social value over economic value.

  • Detailed NZGOAL factsheet, January 2015

    1. What is NZGOAL?NZGOAL is an open access and open licensing framework that promotes the release for re-use of non-personal copyright works and non-copyright material held…

  • 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…

  • GeoNet

    GeoNet provide free access to high quality and timely data and information for emergency management, research, industry use and to the public.

  • Wellington City Council Geospatial Open Data

    In April 2010, WCC began licensing and releasing geospatial data for re-use. This includes aerial photos, historic maps, boundaries, contour lines, building footprints, utility networks, hazard information and locations of WCC facilities.

  • Connect the dots - using the government A to Z API for data.govt.nz

    Ok, so I'm in the middle of data migration for the new data.govt.nz open data portal at the moment and thought I'd take a moment to highlight something that:

  • Traditional data governance

    This page describes traditional data governance, when it is useful, and what it involves. It also highlights some of the limitations of a traditional approach to data governance.

  • 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.

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