Evidence map›Paper›PMID 39439776›Full record

ReviewJournal of the Royal Society of New Zealand2024

Māori and the Integrated Data Infrastructure: an assessment of the data system and suggestions to realise Māori data aspirations [Te Māori me te Integrated Data Infrastructure: he aromatawai i te pūnaha raraunga me ngā marohitanga e poipoia ai ngā wawata raraunga Māori].

Lara M Greaves, Cinnamon Lindsay Latimer, Emerald Muriwai, Charlotte Moore, Eileen Li, Andrew Sporle, Terryann C Clark, Barry J Milne

Abstract readReview
In one paragraph

Review in Journal of the Royal Society of New Zealand, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Identification of autistic Māori in Aotearoa New Zealand: A national cross-sectional study.Autism : the international journal of research and practice · 2026
    Article
  6. Article
  7. Article
  8. Measuring Māori Health, Wellbeing, and Disability in Aotearoa Using a Web-Based Survey Methodology.International journal of environmental research and public health · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lara M GreavesPolitics and International Relations, School of Social Sciences, University of Auckland, Tāmaki Makaurau, New Zealand (Aotearoa).ORCID https://orcid.org/0000-0003-0537-7125
Cinnamon Lindsay LatimerPolitics and International Relations, School of Social Sciences, University of Auckland, Tāmaki Makaurau, New Zealand (Aotearoa).ORCID https://orcid.org/0000-0002-9521-3783
Emerald MuriwaiNgā Pou Mana Tangata Whenua Allied Health, Te Whatu Ora, Health New Zealand, Wellington, New Zealand.
Charlotte MooreFamily Violence Clearinghouse, University of Auckland, Auckland, New Zealand.
Eileen LiCOMPASS Research Centre, University of Auckland, Tāmaki Makaurau, New Zealand (Aotearoa).
Andrew SporleiNZight Analytics Limited; Department of Statistics, University of Auckland, Tāmaki Makaurau, New Zealand (Aotearoa).ORCID https://orcid.org/0000-0003-1620-473X
Terryann C ClarkSchool of Nursing, University of Auckland, Tāmaki Makaurau, New Zealand (Aotearoa).ORCID https://orcid.org/0000-0001-5499-5080
Barry J MilneCOMPASS Research Centre, University of Auckland, Tāmaki Makaurau, New Zealand (Aotearoa).ORCID https://orcid.org/0000-0002-0318-1201

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Statistics New Zealand Integrated Data Infrastructure (IDI) is a collection of de-identified whole-population administrative datasets. Researchers are increasingly utilising the IDI to answer pressing social and policy research questions. Our work provides an overview of the IDI, associated issues for Māori (the Indigenous peoples of New Zealand), and steps to realise Māori data aspirations. We first introduce the IDI including what it is and how it was developed. We then move to an overview of Māori Data Sovereignty. We consider the main issues with the IDI for Māori including technical issues and problems with ethnic identifiers, deficit-framed work, community involvement, consent, social licence, further data linkage, offshore access, and barriers to access for Māori. We finish with a set of recommendations around how to improve the IDI for Māori, making sure that Māori can get the most out of administrative data for our communities. These include the need to build data researcher capacity and capability for Māori; work with hapori Māori to increase utilisation; change accountability mechanisms, including greater co-governance of data; adequately fund alternatives; or potentially even abolishing the IDI and starting again.

Indexed as

administrative databig datadata sovereigntyIndigenousIntegrated Data InfrastructureMāori

Identifiers

PMID39439776
PMCPMC11459824

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.