The Electronic Journal of Information Systems Evaluation provides critical perspectives on topics relevant to Information Systems Evaluation, with an emphasis on the organisational and management implications
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Journal Article

Privacy Lost ‑ and Found? The information value chain as a model to meet citizens concerns  pp200-210

John van de Pas, Geert-Jan van Bussel

© Sep 2015 Volume 18 Issue 2, The special issue from ECIME 2014, Editor: Jan Devos, pp93 - 210

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Abstract: In this paper we explore the extent to which privacy enhancing technologies (PETs) could be effective in providing privacy to citizens. Rapid development of ubiquitous computing and the internet of things are leading to Big Data and the appl ication of Predictive Analytics, effectively merging the real world with cyberspace. The power of information technology is increasingly used to provide personalised services to citizens, leading to the availability of huge amounts of sensitive data about individuals, with potential and actual privacy‑eroding effects. To protect the private sphere, deemed essential in a state of law, information and communication systems (ICTs) should meet the requirements laid down in numerous privacy regulations. Sens itive personal information may be captured by organizations, provided that the person providing the information consents to the information being gathered, and may only be used for the express purpose the information was gathered for. Any other use of in formation about persons without their consent is prohibited by law; notwithstanding legal exceptions. If regulations are properly translated into written code, they will be part of the outcomes of an ICT, and that ICT will therefore be privacy compliant. We conclude that privacy compliance in the technological sense cannot meet citizens concerns completely, and should therefore be augmented by a conceptual model to make privacy impact assessments at the level of citizens lives possible.


Keywords: Keywords: privacy, privacy enhancing technology, digital archiving, information value chain, big data, information management


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