Development and Validation of a Taxonomy for Characterizing Measurements in Health Self-Quantification

Development and Validation of a Taxonomy for Characterizing Measurements in Health Self-Quantification

Development and Validation of a Taxonomy for Characterizing Measurements in Health Self-Quantification

Journals

  1. Theis S, Rasche P, Bröhl C, Wille M, Mertens A. Task-Data Taxonomy for Health Data Visualizations: Web-Based Survey With Experts and Older Adults. JMIR Medical Informatics 2018;6(3):e39 View
  2. Borda A, Gray K, Fu Y. Research data management in health and biomedical citizen science: practices and prospects. JAMIA Open 2020;3(1):113 View
  3. Shi H, Chen R. Goal specificity or ambiguity? Effects of self-quantification on persistence intentions. Journal of Research in Interactive Marketing 2022;16(4):569 View
  4. Banks G, Tonidandel S, Dou W, Gerson M, Xu D, Yavorsky J. How to Reduce Bias in the Life Cycle of a Data Science Project. Journal of Business and Psychology 2025;40(6):1253 View
  5. Bamford N, Oliveira S. Energy use in the home and consequences on healthcare practices – a review. Cities & Health 2025;9(4):773 View
  6. Santos M, Rosa L, Novelli D, Neto W. Diversidade em Avatares: desafios e perspectivas na representação de corpos na moda digital. Modapalavra e-periódico 2026;19(48):01 View
  7. Viotto M, Zanette M, Daskalopoulou A. Self-tracking, consumption and markets: analysing current research and setting a new research agenda. Journal of Marketing Management 2026:1 View