Planning for Your CANOE (Circumspect Awareness and Navigation of Outcomes and Expectations) Journey in Community-Engaged Research With Indigenous Communities

Abstract

Community engagement has long been recognised as necessary for working with Indigenous communities. Although many researchers are excited to engage with communities and many articles describe the process of community engagement in research, almost none have addressed the foundational question of whether researchers should engage with Indigenous communities for research. In this Viewpoint, we will discuss the Circumspect Awareness and Navigation of Outcomes and Expectations (CANOE) approach, which describes what should be considered before embarking on a community-engaged research journey with Indigenous communities. We build on existing literature regarding understanding the need to recognise positionality, practise reflexivity, assess personal strengths and weaknesses, and consider abilities and skills that can be offered or promised to Indigenous partners. Our goal is to provide principles of being reflexive, intentional, and careful before launching into research with Indigenous communities. Drawing from our combined decades of experience as Indigenous, community-engaged scientists leading national and international community projects, we draw from the extant literature and lessons learned in the field to provide a guiding CANOE approach for community-engaged research. This Viewpoint provides researchers interested in community-engaged projects with the information they need to consider before embarking on their research journey. We provide a set of CANOE self-assessment questions designed to evaluate a researcher’s preparedness, suitability to invest in a research partnership, and adaptability to navigate a research journey with Indigenous communities. Not only should relationships be properly developed and nurtured, but researchers need to fundamentally understand their ability to develop research partnerships that prioritise Indigenous cultural worldviews and protocols in research design, development, testing, and implementation.