Te Rourou Tātaritanga: Informatics for Social Services and Wellbeing aims to address New Zealand's critical need for better linking of data and access to datasets, leveraging administrative and other data resources to advance excellence in the use of social data.
Andrew Sporle is a co-leader on the project, alongside researchers from the University of Auckland and Victoria University of Wellington.
Funded by: Ministry of Business, Innovation and Employment Endeavour Fund
Grant number: 62506 ENDRP
Te Rourou Tātaritanga aims to improve data standards, support secure and ethical access to data, and promote Māori data sovereignty, while addressing privacy, legal, and security considerations surrounding the use of social data. By strengthening how social data is linked, accessed, and analysed, the programme will support more informed decision-making in the development of social policy.
iNZight is a free and accessible statistical visualisation software. Founded by Chris Wild of the University of Auckland, development of iNZight is now lead by Tom Elliott of iNZight Analytics.
The software was initially designed for New Zealand high schools, allowing students to quickly and easily explore data and understand basic statistical ideas using the companion program VIT. However, iNZight now extends to multivariable graphics, time series, and generalised linear modelling, including modelling of data from complex surveys.
iNZight is free. That means you can download and use it however you want, for whatever you want. There are absolutely no restrictions. You can download for yourself or redistribute it. You can even modify it if you are so inclined! However, it is important to note that iNZight comes with absolutely no warranty.
Pacific peoples are often treated as a single group for the purpose of reporting on health outcomes in New Zealand, but this ignores the diversity between specific Pacific ethnic populations.
This report summarises work conducted using Statistics New Zealand’s (Stats NZ) Integrated Data Infrastructure (IDI) to better capture this diversity and enable more accurate reporting on cancer outcomes (all cancers and stomach cancer) among those who identify with “Level 2” Pacific ethnicities: Samoan, Cook Islands Māori, Tongan, Niuean, Tokelauan & Fijian.
This work was supported as part of a Health Research Council (HRC) Programme Grant 17/610 led by Professor Parry Guilford at the University of Otago.
There is an expressed need of Māori providers and communities for high quality, localised information that can be used to inform and monitor interventions to improve key Maori health outcome measures. Te Hao Nui is a longitudinal study that will link together the data from Te Kupenga, the Integrated Data Infrastructure (IDI), and the Longitudinal Census Database to create the world’s largest and most comprehensive indigenous longitudinal study capable of following individual pathways forwards and backward in time.
Funded by: Health Research Council
Grant number: 18/849
The study entirely draws on previously collected administrative data, no new data are collected as part of this project.
Focusing on informing local interventions and policy, this project will transform national statistics into locally accessible information linked into service delivery planning and evaluation at the iwi, rohe as well as at the regional level.
Linking into existing iwi and regional Māori development plans, this project will produce information that will immediately inform the delivery of services and interventions to improve rangatahi wellbeing.
It will additionally create a permanent resource within the official statistics system that can be used for research, evaluation, and monitoring of rangatahi well-being on an on‐going basis.
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