Research data - It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing
DOI: 10.4121/20406330
Dataset
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Licence CC BY 4.0
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.
History
- 2023-04-11 first online
- 2023-04-24 published, posted
Publisher
4TU.ResearchDataFormat
.xlsx (grounded table), .pptx (presentation)Associated peer-reviewed publication
It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharingFunding
- Safe Data Enabled Economic Development (grant code 825225) [more info...] European Commission
Organizations
TU Delft, Faculty of Technology, Policy, and Management, Department of Engineering Systems and Services, Section Information and Communication TechnologyDATA
Files (3)
- 2,818 bytesMD5:
d352e7d01162cb0d2963bd32230c5ace
README.txt - 14,985 bytesMD5:
85d4d87b3b6d3e72240e7b0728855832
Agahari et al (2022)_grounded table_final.xlsx - 167,231 bytesMD5:
b298255920fe008337ca6776813803b0
Agahari et al (2022)_presentation with business actors_final.pptx -
download all files (zip)
185,034 bytes unzipped