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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 2021 Working Papers
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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 2021 Working Papers
      • View Item
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      Participatory data design: managing data sovereignty in IoT solutions

      Bowen, Judy; Hinze, Annika
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      Files
      PD_IWC_RevisedMay2022 (1).pdf
      Accepted version, 746.9Kb
      DOI
       10.1093/iwc/iwac031
      Link
       doi.org
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      Permanent link to Research Commons version
      https://hdl.handle.net/10289/15249
      Abstract
      Within the software engineering community, deciding how to collect, store and use personal data has become about more than just understanding our users. This paper considers ethical data use which includes cultural considerations and data ownership rights. We discuss indigenous data sovereignty as a concept and how it potentially impacts technological solutions that gather personal data from users. We propose an extension to typical user-centred design processes which we call participatory data design. This incorporates the use of frameworks and tools that specifically focus on managing data within the cultural context it is gathered from. We also present a specific example of how we have used this approach in the context of a data collection project from M¯aori workers in New Zealand forestry. We conclude with a discussion of the wider implications of this approach.
      Date
      2022
      Type
      Journal Article
      Publisher
      Oxford University Press
      Rights
      ©The Author 2022. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved.
      Collections
      • 2021 Working Papers [2]
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