This paper is in the following e-collection/theme issue:

Machine Learning (1781) Big Data (286) Tools, Programs and Algorithms (326) Data Science (314) Clinical Informatics (1180) Statistical Methods for Surveillance and Population Health (174) Machine Learning from Digital Images in Dermatology (14) Dermatology (56)

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

Authors of this article:

Theresa Willem1, 2 Author Orcid Image ;   Alessandro Wollek3 Author Orcid Image ;   Theodor Cheslerean-Boghiu3 Author Orcid Image ;   Martha Kenney4 Author Orcid Image ;   Alena Buyx1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Xia F, Xiao J, Wu J. Towards improved recycling interventions: a multitasking model for consumer behavior analysis and segmentation. Journal of Marketing Analytics 2025 View