How can equity, diversity and inclusion be considered throughout the research process — not only in who participates, but in the questions we ask, how research is designed and conducted, how data are interpreted, and how findings are shared?
The UTCSP has pulled together a small number of practical learning resources that may be useful to researchers across the UTCSP community.
Equity across the research lifecycle
Ontario SPOR SUPPORT Unit’s Fairness is Excellence framework and curriculum takes an applied equity lens across patient-oriented research, including research questions and design, patient engagement, recruitment and data collection, research teams, analysis, and knowledge exchange. The online curriculum is designed to support researchers in applying an equity lens to their own work.
Sex and gender in health research
CIHR’s online training modules provide practical guidance for integrating sex and gender considerations into health research. Separate modules address biomedical research, primary data collection with human participants, and analysis of data from human participants.
Intersectionality in research
The University of Alberta’s International Institute for Qualitative Methodology offers learning focused on intersectionality theory and its application in qualitative research. CIHR also has a series about intersectionality theory and its application in quantitative research. These may be particularly useful for researchers looking to go deeper into how intersecting social positions and systems of power can inform research questions, methods and interpretation.
Indigenous research
Research involving First Nations, Inuit and Métis Peoples can involve distinct relational, ethical, methodological, governance and data-sovereignty considerations and should not be treated simply as one component of broader EDIA practice. We recently shared a separate collection of Indigenous health and research learning resources, including resources on research relationships and methodologies, research ethics, and First Nations data sovereignty and OCAP®.
These resources are intended as starting points rather than a comprehensive training pathway. Different approaches will be relevant depending on the research question, methodology, population and context.
