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Data underlying the thesis: Multiparty Computation: The effect of multiparty computation on firms' willingness to contribute protected data

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · updated 6 November 2020
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This thesis-mpc-dataset-public-readme.txt file was generated on 2020-10-20 by Masud Petronia GENERAL INFORMATION 1. Title of Dataset: Data underlying the thesis: Multiparty Computation: The effect of multiparty computation on firms' willingness to contribute protected data 2. Author Information A. Principal Investigator Contact Information Name: Masud Petronia Institution: TU Delft, Faculty of Technology, Policy and Management Address: Mekelweg 5, 2628 CD Delft, Netherlands Email: masud.petronia@gmail.com ORCID: https://orcid.org/0000-0003-2798-046X 3: Description of dataset: This dataset contains perceptual data of firms' willingness to contribute protected data through multi party computation (MPC). Petronia (2020, ch. 6) draws several conclusions from this dataset and provides recommendations for future research Petronia (2020, ch. 7.4). 4. Date of data collection: July-August 2020 5. Geographic location of data collection: Netherlands 6. Information about funding sources that supported the collection of the data: Horizon 2020 Research and Innovation Programme, Grant Agreement no 825225 – Safe Data Enabled Economic Development (SAFE-DEED), from the H2020-ICT-2018-2 …

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