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  • Frameworks to move the data agenda forward

    COVID provides an opportunity to adopt a broader perspective on core concepts, to reimagine how we approach the foundational frameworks behind data management and use, to catalyse meaningful change. Feel the same, join us.  

  • Content review checklist

    As content strategists, we need to ensure the current and enduring value of all content. We perform regular content reviews and audits to do this.

    Review frequenciesEvery…

  • The process

    We describe the process for mandating data standards, including the groups involved in mandating standards, the proposed topics and candidates, how you can engage with the process, why it was changed, and compliance with the previous standards.

  • Algorithm Impact Assessment toolkit

    The Algorithm Impact Assessment (AIA) toolkit is a series of tools for agencies to use to help them understand and assess the potential impacts of the…

  • Data Summit'18 - it's a wrap!

    More than 250 data warriors, policy peeps, and those from across government, NGOs, business, and academia who want to know more about data, gathered in Wellington to talk data ethics.

  • Algorithm Charter CoP: how mature are we?

    At the fourth community of practice we were introduced to a maturity model we can apply to our mahi, challenged by a presentation on AI and prompted to review/use the recently-developed algorithm assessment tools in time for our next hui in June. 

  • Our content strategy – why we’re here, and what we want to do

    In January 2019, we published the content strategy and style guide for data.govt.nz. We'd love to get your feedback.

  • Making government procurement data more accessible

    New open data files make it easier to analyse contract award notices published on the Government Electronic Tenders Service (GETS).

  • Affordability in NZ

    This open source web application uses open government data and a mapping interface to enable people to find out which suburbs will be most affordable for them.

  • Open data powers affordability app

    Developer Alex Raichev used open data to create a web application that helps you work out the most affordable suburb to rent in and commute from.

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