The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/e971ae20-c4a1-4ea8-87eb-987f2362bda4

Gómez Ortega, Alejandra (2024): Data underlying the paper: "Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies." Included in Chapter 3 of the PhD thesis: Sensitive Data Donation . Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e971ae20-c4a1-4ea8-87eb-987f2362bda4.v1

Dataset

• Design Practice and Management
• Built Environment and Design

Data Donation, Data-Centric Design, Intimate Data, Menstrual Tracking, Personal Data, Self-Tracking

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Alejandra Gómez Ortega

This project investigates the data donation experience of 22 people who donated their menstrual tracking logs collected by the menstrual tracking app Clue via a digital data donation platform. They participated in a semi-structured interview where they explored and contextualized their data, represented visually. The dataset includes the interview protocol, the visual representation of the data, and the thematic structure of the results.

• 2024-03-01 first online, published, posted

4TU.ResearchData

*.pdf, *.HTML,

Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies

TU Delft, Faculty of Industrial Design Engineering, Department of Sustainable Design Engineering