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  • Meetup: Sorting fact from fiction: open data myths, mysteries & misconceptions

    When: Wednesday, June 28, 2017, 5:30 PM to 7:30 PM

  • 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.

  • Why do we need Ngā Tikanga Paihere?

    To address the inequities suffered by Māori and other minorities, research must include strong participation with the community of focus and meet the data related obligations of Te Tiriti o Waitangi and human rights considerations.

  • New Zealand Data and Information Management Principles

    On 8 August 2011 government approved new principles for managing the data and information it holds. These replace the 1997 Policy Framework for Government held Information.

    Cabinet…

  • Futurology: trends in AI

    The Centre for Data Ethics and Innovation challenged their esteemed friend Dr Bruce Tsai and his co-author Dr Ben Smith to read and interpret current emerging trends in order to foresee what the future could look like.

  • Principle 1: Pūkenga & Whakapapa

    Principle 1: Have appropriate expertise, skills, and relationships with communities. This principle includes ngā tikanga Pūkenga (skills and expertise) and Whakapapa (genealogy).

  • Getting our data out there

    Government agencies are undergoing a culture change – they’re moving towards their data being ‘open by design’. At a recent workshop international expert Ellen Broad explained what open data is and outlined some of the considerations for agencies that are opening up their data.

  • Data confidentiality principles and methods report

    The data confidentiality report which looks at best practice principles and methodology-related content, produced by Stats NZ.

  • Algorithm charter for Aotearoa New Zealand

    The algorithm charter shows an enduring commitment for government agencies to use algorithms in a fair, ethical and transparent way.

  • Understanding barriers to comparable and interoperable data 

    This paper explores barriers currently preventing agencies from providing more open data that is comparable and interoperable.

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