The social life of data: strategies for categorizing fluid and multiple genders

Abstract

Accurate data collection from LGBTIQ+ communities is crucial for public health research and the provision of equitable services. Emergent fluid, multiple, trans and non-binary gender identities complicate data collection in ways that make an excellent case-study for rethinking the categorization of such data. In this article, we explore some of the obstacles to collecting data from trans, gender-diverse and non-binary (TGD) communities, and the difficulties in synthesizing meaning about fluid or multiple identity categories. We review a selection of international surveys from the last 10 years and then present a case-study of data collection in an Australian mixed-methods study of LGBTQ+ you..