Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59452, first published .
The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets

The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets

The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets

Theresa Willem   1, 2 , MA ;   Alessandro Wollek   3 , Dr rer nat ;   Theodor Cheslerean-Boghiu   3 , MSc ;   Martha Kenney   4 , PhD ;   Alena Buyx   1 , Dr med

1 Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany

2 Helmholtz AI, Helmholtz Munich, Munich, Germany

3 Munich Institute of Biomedical Engineering, School of Computation, Information, and Technology, Technical University of Munich, Munich, Germany

4 Women & Gender Studies, San Francisco State University, San Francisco, CA, United States

Corresponding Author:

  • Theresa Willem, MA
  • Institute of History and Ethics in Medicine
  • School of Medicine and Health
  • Technical University of Munich
  • Ismaningerstraße 22
  • Munich, 81675
  • Germany
  • Phone: 49 89 4140 4041
  • Email: theresa.willem@tum.de