Research data - Business model implications of privacy-preserving technologies in data marketplaces: The case of multi-party computation
doi: 10.4121/19995101.v1
Datacite citation style:
Agahari, Wirawan; Dolci, R.; de Reuver, Mark (2023): Research data - Business model implications of privacy-preserving technologies in data marketplaces: The case of multi-party computation. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19995101.v1
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Dataset
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version 2 - 2023-04-24 (latest)
version 1 - 2023-04-19
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licence
CC BY 4.0
This dataset is a supplementary document to the article entitled "Business model implications of privacy-preserving technologies in data marketplaces: The case of multi-party computation." It is also a supplementary document for Chapter 3 of the dissertation entitled "The impact of Multi-Party Computation on data sharing decisions in data marketplaces: insights from businesses and consumers". The data was collected through semi-structured interviews conducted in March-June 2020. Further details are provided in the article and in the methodology section in Chapter 3 of the dissertation.
history
- 2023-04-19 first online, published, posted
publisher
4TU.ResearchData
format
.xlsx
references
funding
- 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 Technology
DATA
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0bbbf1b6e79e52a023fa9f0aaa3f14e0
README.txt -
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Agahari et al (2021)_Grounded table_final.xlsx - download all files (zip)
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