Ethical Data Linkage with Indigenous Communities: The Manitoba Experience
Introduction Indigenous populations are known to have poor health and health outcomes in many countries. Indigenous peoples continue to be the subjects of unethical research. Research that is undertaken without their consent, involvement in the design, delivery and interpretation of results that per...
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Swansea University
2020
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ftdoajarticles:oai:doaj.org/article:ed1c71f417054c22b3d9f2987b6efb21 2023-05-15T16:14:33+02:00 Ethical Data Linkage with Indigenous Communities: The Manitoba Experience Alan Katz Kathi Avery Kinew Leona Star 2020-12-01T00:00:00Z https://doi.org/10.23889/ijpds.v5i5.1473 https://doaj.org/article/ed1c71f417054c22b3d9f2987b6efb21 EN eng Swansea University https://ijpds.org/article/view/1473 https://doaj.org/toc/2399-4908 doi:10.23889/ijpds.v5i5.1473 2399-4908 https://doaj.org/article/ed1c71f417054c22b3d9f2987b6efb21 International Journal of Population Data Science, Vol 5, Iss 5 (2020) Demography. Population. Vital events HB848-3697 article 2020 ftdoajarticles https://doi.org/10.23889/ijpds.v5i5.1473 2022-12-31T14:32:13Z Introduction Indigenous populations are known to have poor health and health outcomes in many countries. Indigenous peoples continue to be the subjects of unethical research. Research that is undertaken without their consent, involvement in the design, delivery and interpretation of results that perpetuates negative stereotypes ignoring the historical and ongoing impacts of colonialism. Objectives and Approach In order to understand the health status and health system use of First Nations people in Manitoba Canada we developed a partnership between the First Nations Social Secretariat of Manitoba and researchers to link First Nations identifiers with administrative data. This partnership was based on long-standing relationships with researchers who were affiliated with the Manitoba Centre for Health Policy. Results A tripartite data sharing agreement set out the parameters of sharing data that supported the linkage of the Federal Registered First Nations database to the Manitoba Population Research Data Repository. The DSA facilitated direct First Nations input into the indicators chosen, the reporting cohorts, the interpretation of results and the language of the report. Conclusion / Implications DSAs can be used as a tool to facilitate partnerships with Non-indigenous researchers and Indigenous Nations that lead to meaningful partnerships and lay the foundation for respectful and ethical research. The research presents findings the health of First Nations and shines a light on the underlying colonialism and racism that contributes to the health inequities. These findings have the potential to influence health and well-being of First Nation peoples in Manitoba. This model of collaboration can be used a model in other jurisdictions. Article in Journal/Newspaper First Nations Directory of Open Access Journals: DOAJ Articles Canada International Journal of Population Data Science 5 5 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
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Demography. Population. Vital events HB848-3697 |
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Demography. Population. Vital events HB848-3697 Alan Katz Kathi Avery Kinew Leona Star Ethical Data Linkage with Indigenous Communities: The Manitoba Experience |
topic_facet |
Demography. Population. Vital events HB848-3697 |
description |
Introduction Indigenous populations are known to have poor health and health outcomes in many countries. Indigenous peoples continue to be the subjects of unethical research. Research that is undertaken without their consent, involvement in the design, delivery and interpretation of results that perpetuates negative stereotypes ignoring the historical and ongoing impacts of colonialism. Objectives and Approach In order to understand the health status and health system use of First Nations people in Manitoba Canada we developed a partnership between the First Nations Social Secretariat of Manitoba and researchers to link First Nations identifiers with administrative data. This partnership was based on long-standing relationships with researchers who were affiliated with the Manitoba Centre for Health Policy. Results A tripartite data sharing agreement set out the parameters of sharing data that supported the linkage of the Federal Registered First Nations database to the Manitoba Population Research Data Repository. The DSA facilitated direct First Nations input into the indicators chosen, the reporting cohorts, the interpretation of results and the language of the report. Conclusion / Implications DSAs can be used as a tool to facilitate partnerships with Non-indigenous researchers and Indigenous Nations that lead to meaningful partnerships and lay the foundation for respectful and ethical research. The research presents findings the health of First Nations and shines a light on the underlying colonialism and racism that contributes to the health inequities. These findings have the potential to influence health and well-being of First Nation peoples in Manitoba. This model of collaboration can be used a model in other jurisdictions. |
format |
Article in Journal/Newspaper |
author |
Alan Katz Kathi Avery Kinew Leona Star |
author_facet |
Alan Katz Kathi Avery Kinew Leona Star |
author_sort |
Alan Katz |
title |
Ethical Data Linkage with Indigenous Communities: The Manitoba Experience |
title_short |
Ethical Data Linkage with Indigenous Communities: The Manitoba Experience |
title_full |
Ethical Data Linkage with Indigenous Communities: The Manitoba Experience |
title_fullStr |
Ethical Data Linkage with Indigenous Communities: The Manitoba Experience |
title_full_unstemmed |
Ethical Data Linkage with Indigenous Communities: The Manitoba Experience |
title_sort |
ethical data linkage with indigenous communities: the manitoba experience |
publisher |
Swansea University |
publishDate |
2020 |
url |
https://doi.org/10.23889/ijpds.v5i5.1473 https://doaj.org/article/ed1c71f417054c22b3d9f2987b6efb21 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
First Nations |
genre_facet |
First Nations |
op_source |
International Journal of Population Data Science, Vol 5, Iss 5 (2020) |
op_relation |
https://ijpds.org/article/view/1473 https://doaj.org/toc/2399-4908 doi:10.23889/ijpds.v5i5.1473 2399-4908 https://doaj.org/article/ed1c71f417054c22b3d9f2987b6efb21 |
op_doi |
https://doi.org/10.23889/ijpds.v5i5.1473 |
container_title |
International Journal of Population Data Science |
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5 |
container_issue |
5 |
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1766000340220510208 |