Analyzing Data in Community-Based Research With Indigenous Communities Article Swipe

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Audrey R. Giles , Rochelle Stewart‐Withers , Jeremy Hapeta , Steven Rynne ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.4324/9781003430339-17

Over the past two decades, there have been more meaningful attempts to incorporate Indigenous peoples into all aspects of the community-based participatory research (CBPR) process. Nevertheless, in most cases, this involvement has not been extended to data analysis. We argue that without inclusion in data analysis, Indigenous peoples' perspectives are not fully integrated into CBPR. If Indigenous peoples are not involved in data analysis, researchers risk not comprehending the community members' perspectives or missing important ideas, which risks producing work that is inaccurate, incomplete, or perpetuates colonialism. As a result, there remain important shortcomings to knowledge production that exclude Indigenous peoples – the deeper level of understanding Indigenous peoples' experiences will not be "unlocked." In this chapter, we examine the history of CBPR with Indigenous communities; explore the ways in which the data analysis phase can be conducted by Indigenous and settler scholars; provide examples from our CBPR data analysis work in Aotearoa New Zealand, Canada, and Australia; and examine some of the opportunities and challenges in this work.

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Indigenous Geography Data science Sociology Computer science Biology Ecology

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Language: en
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DOI: https://doi.org/10.4324/9781003430339-17

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Title: Analyzing Data in Community-Based Research With Indigenous Communities

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Language: en

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Publication year: 2024

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Publication date: 2024-05-16

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Authors: Audrey R. Giles, Rochelle Stewart‐Withers, Jeremy Hapeta, Steven Rynne

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Landing page: https://doi.org/10.4324/9781003430339-17

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Concepts: Indigenous, Geography, Data science, Sociology, Computer science, Biology, Ecology

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