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.
A new approach to data governance that addresses the operational realities of data practice while maintaining strategic vision and direction.
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.
A brief description of each of the 10 capabilities developed for the ooperational Data Governance Framework (oDGF). This description was written by Kevin Sweeney and published…
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…
The following articles are from the Centre for Data Ethics and Innovation's May 2025 newsletter. The newsletter comes out quarterly, full of news, commentary, opinion, and education.
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.
This paper explores barriers currently preventing agencies from providing more open data that is comparable and interoperable.
This paper proposes a simple approach/tool (VPAt) for identifying the value propositions of explicit data management domains for stakeholder business imperatives.
BackgroundData management frameworks are traditionally unrelatable…
A co-designed Māori data governance model offers the NZ government the opportunity to develop an approach to data governance that reflects te ao Māori needs and interests in data.