Agreement to terms1. Welcome to the data.govt.nz site and the catalogue.data.govt.nz site hosted and operated by the Department of Internal Affairs (”we”, “our”, “DIA”) (for the purpose of…
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.
About this guidance
This guidance is intended to be high-level, introducing basic concepts to stimulate further investigation and thinking. There are various pieces of work underway to…
Data.govt.nz's datasets, organisations and groups can be accessed and queried as JSON date through the metadata API; this page describes how.
Purpose1. The purpose of this privacy policy is to let users of data.govt.nz (the “Site”) know when we collect personal information and what we do with…
Police are developing a suite of activities to ensure any emerging technologies, such as Facial Recognition Technology, are well understood, publicly accepted, and if need be, regulated. It is also critical that any impacts of technology are understood from a Te Ao Māori perspective.
A new approach to data governance that addresses the operational realities of data practice while maintaining strategic vision and direction.
An early paper on the data flow model, with a particular emphasis on how it was being implemented at Stats NZ. This paper was written by…
Introduction1 When NZGOAL was first released in August 2010, it supported use of the Creative Commons 3.0 New Zealand licences. At that time, this made obvious…
A detailed set of guidelines for creating a steady state data flow map