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

      Bowen, Judy; Hinze, Annika; Matamua, Rangi
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      Bowen, J., Hinze, A., & Matamua, R. (2021). Participatory data design: managing data sovereignty in IoT solutions (Computer Science Working Paper). Hamilton, New Zealand: University of Waikato.
      Permanent Research Commons link: https://hdl.handle.net/10289/14143
      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 Māori workers in New Zealand forestry. We conclude with a discussion of the wider implications of this approach.
      Date
      2021
      Type
      Working paper
      Series
      Computer Science Working Papers
      Report No.
      02/2021
      Publisher
      University of Waikato
      Rights
      © 2021 Judy Bowen, Annika Hinze & Rangi Matamua (Tūhoe)
      Collections
      • 2021 Working Papers [3]
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