Maui Hudson

TL;DR: The goal is that stewards and other users of Indigenous data will ‘Be FAIR and CARE’ and the Principles complement the existing data-centric approach represented in the ‘FAIR Guiding Principles for scientific data management and stewardship’ (Findable, Accessible, Interoperable, Reusable).

TL;DR: The He Pikinga Waiora Implementation Framework appears to be well suited to advance implementation science for indigenous communities in general and Māori in particular and has promise as a policy and planning tool to evaluate and design effective interventions for chronic disease prevention in indigenous communities.

TL;DR: The CARE Principles for Indigenous Data Governance (CARE) as discussed by the authors is a set of principles for data governance in big data, open data, and open science, which is based on FAIR principles for scientific data.

TL;DR: In this article, the authors suggest a revised interpretation of the Treaty of Waitangi principles to incorporate the range of ethical issues that Māori have expressed as important, such as respect for their indigenous rights, control over research processes and reciprocity within research relationships.

TL;DR: The He Tangata Kei Tua model provides a framework for considering cultural values in relation to other community or indigenous contexts and will be useful for biobanks, researchers, ethics committee members, and those who engage in consultation or advice about biobanking in local, regional, national, or international settings.