Māori, the Indigenous people of Aotearoa New Zealand, experience wide-ranging inequities compared with non-Māori. This survey aimed to explore the holistic health, wellbeing, and disability experiences of New Zealand’s Indigenous Māori population from a Māori worldview, addressing gaps in culturally relevant data often overlooked by standard health surveys. A robust cross-sectional survey was conducted with 7359 participants of Māori descent using Kaupapa Māori Research principles. Data were analysed using the Te Pae Māhutonga framework, a Māori health promotion model. Participants demonstrated strong cultural identity, with 32.3% understanding spoken Māori fairly well and 97.3% defining a broad non-nuclear concept of whānau (family). While over half reported high life satisfaction, 58.4% experienced discrimination, mainly based on ethnicity and appearance. Access to healthcare revealed that 32.6% were unable to contact a general practitioner due to cost. Socioeconomic challenges were prevalent; nearly a quarter borrowed from family or friends to meet daily living costs, and over a third economized on fresh produce to save money. This study reveals significant gaps in mainstream health data and demonstrates that a culturally aligned, methodological approach is feasible and crucial for informing policies that address the needs and rights of Māori, as guaranteed under Te Tiriti o Waitangi. These results could inform global, indigenous research addressing culturally relevant health, wellbeing and disability inequities.

Public domain or access‐controlled web apps provide a simple and relatively cheap way to increase the accessibility of information within data resources. Modern data environments, especially those subject to Māori Data Sovereignty (MDSov) constraints, face technical challenges balancing data security and privacy with accessibility and collective benefit. We are exploring how modern web technologies, including open‐source tools such as JavaScript, can be combined with the data analytics software R to build modern data‐driven web applications with embedded data sovereignty capability. The Rserve software allows JavaScript to communicate with R, and we are developing new technology that enables deployment within diverse data environments in ways that align with MDSov. This approach embeds technical solutions to the challenges of implementing MDSov principles within a data environment, creating data systems that are engineered to enable data owners to control data access, sharing and use.