Feminicide (or femicide) is a feminist category that designates –and denounces– the gender-related violent deaths of women, adolescents, and girls, especially murders. Especially in Latin America, the category has provided a frame for feminist activists, and most recently governments, to gather data about feminicide. This work seeks to understand the implications of how feminicide data are structured, sorted, and curated, how these arrangements guide potential actions. The study advances an approach for the analysis of the organisation and presentation of data about gender-related murders of women by developing three key ideas: feminicide as a frame, digital traces of murder, and data frames. With ontology reconstruction as a method, the study analyses an activist and a government dataset of gender-related murders of women in Uruguay. The study shows how the descriptions provided in each dataset enable certain actions (and not others) and concludes by providing recommendations for reviewing the design of these datasets and for future research avenues.