cff-version: 1.2.0
abstract: "<p>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".</p><p><br></p><p><span style="background-color: rgb(255, 250, 234);">The supplementary document consists of a grounded table (in an excel format) and a short presentation (in a powerpoint format).</span></p><p><br></p><p><span style="background-color: rgb(255, 250, 234);">The data was collected through semi-structured interviews conducted in June-October 2020. </span>Further details are provided in the article <span style="background-color: rgb(255, 250, 234);">and in the methodology section in Chapter 4 of the dissertation.</span></p>"
authors:
  - family-names: Agahari
    given-names: Wirawan
    orcid: "https://orcid.org/0000-0001-8588-8421"
  - family-names: Ofe
    given-names: Hosea
    orcid: "https://orcid.org/0000-0002-5924-2296"
  - family-names: de Reuver
    given-names: Mark
title: "Research data - It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing"
keywords:
version: 2
identifiers:
  - type: doi
    value: 10.4121/20406330.v2
license: CC BY 4.0
date-released: 2023-04-24