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…
If data maturity assessments are to be of value as a business tool, they must express their results with clarity, meaning, and relevance to the executive leadership responsible for investment decisions. With this in mind, we propose a high-level and qualitative model.
Learn about the decisions you need to make before creating a data dictionary and the tools that might help. Explore examples of data dictionaries published by…
A summary of the responses Stats NZ received during the public consultation on the draft algorithm charter.
Data.govt.nz is changing and updating our navigation to help you find things easier. Read about what we found from our user research.
The process for selecting mandated data standards (previously called Data Content Requirements, or DCRs) has been updated and approved by the Information Group.
In January 2019, we published the content strategy and style guide for data.govt.nz. We'd love to get your feedback.
This draft guide provides a high-level comparison of the data and information management principles in the New Zealand context, and applies a value lens to the principles.
A cross-government review, undertaken in 2018, of how government uses algorithms to improve the lives of New Zealanders.
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.