Perspective Developing Successful Collaborative Research Partnerships with AI/AN Communities

In the United States, American Indian and Alaska Native (AI/AN) people are frequently under- or misrepresented in research and health statistics. A principal reason for this disparity is the lack of collaborative partnerships between researchers and tribes. There are hesitations from both academic W...

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Veröffentlicht in:International journal of environmental research and public health 2021-08, Vol.18 (17), p.9089
Hauptverfasser: Credo, Jonathan, Ingram, Jani C
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Ingram, Jani C
description In the United States, American Indian and Alaska Native (AI/AN) people are frequently under- or misrepresented in research and health statistics. A principal reason for this disparity is the lack of collaborative partnerships between researchers and tribes. There are hesitations from both academic Western scientists and tribal communities to establish new partnerships due to differences in cultural and scientific understanding, from data ownership and privacy to dissemination and project expansion. An infamous example is the mishandling of samples collected from the Havasupai Tribe by Arizona State University (ASU) scientists, leading to a legal battle between the tribe and ASU and ending in a moratorium of research with the Havasupai people. This paper will explore three successful and positive collaborations with a large and small tribe, including how the partnerships were established and the outcomes of the collaboration. In addition, the paper will provide perspective of what needs to be addressed by Western scientists if productive collaborations with tribal groups are to be established.
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subjects Alaska
Alaska Natives
Collaboration
Community-Based Participatory Research
Cultural factors
Diabetes
Humans
Indians, North American
Laboratories
Medical research
Mining
Native North Americans
Partnerships
Researchers
Scientists
Statistical methods
United States
Universities
title Perspective Developing Successful Collaborative Research Partnerships with AI/AN Communities
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