Universities in Aotearoa hold a vast, largely unmapped, collection of Māori data. With that, these institutions are in positions of power to control the ways in which Māori data is collected, stored, accessed and used, often without meaningful involvement from Māori communities. Organised across three objectives, this project explores how Māori data governance can be strengthened within academic policy and institutional contexts in ways which give effect to Māori Data Sovereignty for Māori hāpori, hapū and iwi.
The first objective investigates the potential for Machine Learning to identify and locate Māori research data held within universities.
Objective two examines existing approaches to Māori data governance within a university context and identifies opportunities to bring institutional policies and practices into alignment with Te Kāhui Raraunga's Māori Data Governance Model.
The third objective focuses on the relationships between Māori rightsholders and their data, exploring how Māori aspirations for MDSov can be at the centre of all decision-making.