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: 10.4121/20406330

Agahari, Wirawan; Ofe, Hosea; de Reuver, Mark (2023): Research data - It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/20406330.v2

Dataset

x choose version: version 1 - 2023-04-11

• Information Systems
• Information and Computing Sciences

control, data sharing, multi-party computation, privacy-enhancing technologies, risk, trust

CC BY 4.0

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

by Wirawan Agahari , Hosea Ofe , Mark de Reuver

This dataset is a supplementary document to the article entitled "It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing." It is also a supplementary document for Chapter 4 of the dissertation entitled "The impact of Multi-Party Computation on data sharing decisions in data marketplaces: insights from businesses and consumers".

The supplementary document consists of a grounded table (in an excel format) and a short presentation (in a powerpoint format).

The data was collected through semi-structured interviews conducted in June-October 2020. Further details are provided in the article and in the methodology section in Chapter 4 of the dissertation.

• 2023-04-11 first online

• 2023-04-24 published, posted

4TU.ResearchData

.xlsx (grounded table), .pptx (presentation)

It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing

• Safe Data Enabled Economic Development (grant code 825225) [more info...] European Commission

TU Delft, Faculty of Technology, Policy, and Management, Department of Engineering Systems and Services, Section Information and Communication Technology