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  • Data leadership quarterly dashboard

    Stats NZ publishes a quarterly dashboard highlighting key deliverables for their data leadership role under the Government Chief Data Steward function.

  • Steady state data flow mapping

    This page describes steady state data flow mapping, why it might be useful for you and what it involves. 

  • Data and tikanga

    Ngā Tikanga Paihere aligns with the Data Stewardship Framework, guiding good data practice and building public trust and confidence. Currently, it is used alongside the 5 safes framework to help evaluate applications to microdata at Stats NZ.

  • 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.

  • Holistic data governance

    This page describes holistic data governance, how it differs from other approaches, why you might consider it, and what it might involve.

  • Open data implementation plan: looking back, looking forward

    The Open Data NZ team is releasing two updates: one looking back over the last six months, and one looking at the next six.

  • Latest dashboard updates data direction

    Stats NZ's data dashboard for Q1 2018/19 provides the latest snapshot of how their work across government supports their vision of enabling better outcomes for New Zealanders.

  • Free public lecture | Decision-making: Human vs machine – register now

    Register for a free public lecture by international algorithm ethics expert Lorena Jaume-Palasi (5 December, Auckland), co-sponsored by Stats NZ and AUT's Centre for Social Data Analytics. 

  • Overview of New Zealand data and information principles

    This draft guide explains what data and information management principles are, and outlines the principles used in the New Zealand government context.

  • How do we really bring the Charter to life?

    At the second community of practice hui, attendees brought their real experiences with the Algorithm Charter so they could share what had worked, what hadn’t, and, most of all, what they had learnt along the way.

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