Data underlying the master thesis: Multiparty Computation. Identifying the Consumers' Willingness to Share Sensitive Automotive Data on MPC-enabled Data Marketplaces: A Discrete Choice Modelling Approach
doi:10.4121/16543125.v1
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doi: 10.4121/16543125
doi: 10.4121/16543125
Datacite citation style:
van Aalst, Cornelis Pieter Christian (2021): Data underlying the master thesis: Multiparty Computation. Identifying the Consumers' Willingness to Share Sensitive Automotive Data on MPC-enabled Data Marketplaces: A Discrete Choice Modelling Approach. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16543125.v1
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Dataset
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categories
geolocation
Netherlands
time coverage
2021
licence
CC BY 4.0
The main raw dataset within the .RAR-file contains stated choice data from consumers about MPC-enabled data marketplaces. This dataset may be used to determine the consumers' willingness to contribute automotive (GPS) data on MPC-enabled data marketplaces. Van Aalst (2021, ch. 7) draws conclusions and recommendations for future research.
Furthermore, read the README.txt file very carefully to see in which way you can use these data in Discrete Choice Modeling (DCM) in Rstudio to retrieve the data-sharing factor estimates. These data can be utilized in predicting consumers' willingness to share automotive GPS data in similar data marketplaces.
Furthermore, read the README.txt file very carefully to see in which way you can use these data in Discrete Choice Modeling (DCM) in Rstudio to retrieve the data-sharing factor estimates. These data can be utilized in predicting consumers' willingness to share automotive GPS data in similar data marketplaces.
history
- 2021-08-31 first online, published, posted
publisher
4TU.ResearchData
format
Filetypes:
.csv raw data
.tsv stated choice design format
.dat cleaned and formatted input data for DCM models
.IPYNB python notebooks to clean the data
.R estimation models
.csv output data
.sav demographics analyses
.png visualisations
organizations
TU Delft Technology, Policy and Management, Department of Engineering Systems and Services
DATA
files (1)
- 5,412,636 bytesMD5:
dcbf1ee4d69d4317f2d32ccf7c64720e
Thesis_C_Van_Aalst.rar -
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