<hi xmlns="http://www.tei-c.org/ns/1.0" style="font-family:Segoe UI">In nineteenth-century newspaper ads, women were not only used as marketing strategies for medical products to cure female weakness, but predominantly for products marketed to both sexes (Keck 2021). By linking different datasets and interfaces, our project shows how we can efficiently use data as “a check-in, (...), a resource to begin and continue dialogue”</hi><ref xmlns="http://www.tei-c.org/ns/1.0" target="ftn8" n="8" /> <hi xmlns="http://www.tei-c.org/ns/1.0" style="font-family:Segoe UI" xml:space="preserve"> in gender studies. Only accessible datasets can be passed on to future generations. Adding the category of genre as metadata, provides a distinct approach to simply using keyword search, which requires prior – often biased – knowledge of the user. As Temi Odumosu proposes, we should see data and metadata as ways to rethink cataloguing spaces with the potential to alter historical imbalances of power (2020: 299). Machines can help in this way because they approach data differently: the algorithms used for text reuse detection and text classification do neither privilege specific writers, topics or groups.</hi>