Data Equity refers to the consideration, through an equity lens, of the ways in which data is collected, analyzed, interpreted, and distributed. It encourages further inspection into potential racial bias of research methods, publication’s role in the reinforcement and portrayal of stereotypes, and marginalized communities’ ability to control and access their own data.
Through our work in this area, it has become evident that there is a significant gap of knowledge about newcomer populations and how they intersect with other systems and services. It is also not clear what data is collected about newcomers within those systems, which in turn raises important questions about the capacity to provide equity and access in a culturally safe manner.
These principles were designed for anyone looking to embed equity in their research and data process, as we truly believe that data has the potential to be used as an accountability mechanism for change.