Assessing Theories for Research on Personal Data Transparency - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Book Sections Year : 2019

Assessing Theories for Research on Personal Data Transparency

Anette Siebenkäs
  • Function : Author
  • PersonId : 1052842
Dirk Stelzer
  • Function : Author
  • PersonId : 1052843


A growing number of business models are based on the collection, processing and dissemination of personal data. For a free decision about the disclosure of personal data, the individual concerned needs transparency as insight into which personal data is collected, processed, passed on to third parties, for what purposes and for what time (Personal Data Transparency, or PDT for short). The intention of this paper is to assess theories for research on PDT. We performed a literature review and explored theories used in research on PDT. We assessed the selected theories that may be appropriate for exploring PDT. Such research may build on several theories that open up different perspectives and enable various fields of study.
Fichier principal
Vignette du fichier
479119_1_En_16_Chapter.pdf (229.55 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-02271657 , version 1 (27-08-2019)





Anette Siebenkäs, Dirk Stelzer. Assessing Theories for Research on Personal Data Transparency. Eleni Kosta; Jo Pierson; Daniel Slamanig; Simone Fischer-Hübner; Stephan Krenn. Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data : 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Vienna, Austria, August 20-24, 2018, Revised Selected Papers, AICT-547, Springer International Publishing, pp.239-254, 2019, IFIP Advances in Information and Communication Technology, 978-3-030-16743-1. ⟨10.1007/978-3-030-16744-8_16⟩. ⟨hal-02271657⟩
78 View
67 Download



Gmail Facebook X LinkedIn More