“Hacking described his research interest ‘in classifications of people, in how they affect the people classified, and how the affects on the people in turn change the classifications.’ Hacking labeled the subjects of these studies ‘moving targets’ because researchers’ investigatory efforts change them in ways so ‘they are not quite the same kind of people as before.” DataData ScienceData AnalysisQueer Theory Book:Queer Data: Using Gender, Sex and Sexuality Data for Action Source: Queer Data: Using Gender, Sex and Sexuality Data for Action
“The cleaning of data can remove its queerness: paper surveys where respondents score out the response options ‘female’ and ‘male’ and write their own answer, interview recordings were participants flip the focus and ask questions of the researcher, census returns where LGBTQ couples identify themselves as ‘married’ even when governments do not recognize same sex marriage. These examples demonstrate how collection methods can fail to restrict how participants share data about their lives and experiences. … cleaning, which involves the removal of data that breaks established rules” DataLgbtqData ScienceData AnalysisQueer Theory Book:Queer Data: Using Gender, Sex and Sexuality Data for Action Source: Queer Data: Using Gender, Sex and Sexuality Data for Action