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Data sharing mechanisms and privacy challenges in Data Collaboratives: Delphi study of most important issues
Örebro University, Örebro University School of Business.
Örebro University, Örebro University School of Business.
2017 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

In this paper we explore the concept of ‘data collaboratives’ – cross sector partnerships to leverage new sources of digital data for addressing societal problems. Many of these new sources of digital data, such as “data exhaust” from mobile apps, search engines, personal sensors, are collected by companies. The paper identifies and defines the most important privacy challenges that need to be addressed in the context of data collaboratives. It provide guidance on how data can be successfully shared in data collaboratives while respecting data protection interests

Place, publisher, year, edition, pages
2017.
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:oru:diva-59101OAI: oai:DiVA.org:oru-59101DiVA, id: diva2:1131690
Conference
TILTing perspectives 2017, Regulating a connected world, Tilburg University, Tilburg, the Netherlands, May 17-19, 2017
Available from: 2017-08-15 Created: 2017-08-15 Last updated: 2017-10-18Bibliographically approved

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Kolkowska, EllaSusha, Iryna

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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