Health Data for Linguistic Minority Group Research in Canada: Proof-of-Concept Centralized Health Care Metadata Repository Development and Usability Study

Developing a national MDR would be a transformative opportunity for Canadian researchers to leverage the full scope of Canadian health administrative data. Although a top-down approach with consistent engagement of and collaboration between provincial data holdings and federal data agencies is ideal to develop a national MDR, this study demonstrates the feasibility of a bottom-up approach in contributing to this overarching goal.

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Publication Details

Journal
JMIR Infodemiology
Published
2026-01-15
DOI
https://doi.org/10.2196/77242
Primary Topic
Library Science and Information Systems
Type
article
Field-Weighted Citation Impact
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article

Health Data for Linguistic Minority Group Research in Canada: Proof-of-Concept Centralized Health Care Metadata Repository Development and Usability Study

Ricardo Batista, Vincent Martin-Schreiber, Peter Tanuseputro, Christopher Belanger et al.
JMIR Infodemiology
Library Science and Information Systems
article

Health Data for Linguistic Minority Group Research in Canada: Proof-of-Concept Centralized Health Care Metadata Repository Development and Usability Study

Ricardo Batista, Vincent Martin-Schreiber, Peter Tanuseputro, Christopher Belanger, Lise M. Bjerre, Cayden Peixoto, Amy T Hsu
article en

Abstract

Developing a national MDR would be a transformative opportunity for Canadian researchers to leverage the full scope of Canadian health administrative data. Although a top-down approach with consistent engagement of and collaboration between provincial data holdings and federal data agencies is ideal to develop a national MDR, this study demonstrates the feasibility of a bottom-up approach in contributing to this overarching goal.

JMIR InfodemiologyVol. 6
University of Ottawa (CA), Bruyère (CA), Institut du Savoir Montfort (CA), Inuit Tapiriit Kanatami (CA), University of Hong Kong (HK)
Partnerships for the goals
Openalex Percentile: Top 92%
Library Science and Information Systems
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