Abstract
It has been assumed that information technologies and public information systems like e-government and e-health would bring substantial positive effects. The current results of public information systems are not too optimistic as there are barriers due to an improper setting of legislative and related processes, especially of (personal) data secirity rules and processes. The processes in fact almost completely exclude the computation of open information from sensitive data . We show that it has substantial negative effects but it still does not assure required personal data security . The undesirable effects are not only important, but sometimes they are fatal. This problem is frequently underestimated and often overlooked. The current practices substantially limit the applicability of the concepts of artificial intelligence, knowledge society, and semantic web. We propose solutions enabling to change current undesirable practices like massive data deletion. The solutions are based on the combination of processes performed by a trusted body. We discuss technical solutions enabling implementation of our proposals and specifying ways of changing current legislative to enable them. It must be based on the change of social and legislative conditions like prejudices of public (Big Brother hysteria).
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This work has been partially supported by the Czech Science Foundation by the grant number 201/09/0983.
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Král, J., Žemlička, M. (2011). Bottleneck of the Development of Public Information Systems. In: Pokorny, J., et al. Information Systems Development. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9790-6_30
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DOI: https://doi.org/10.1007/978-1-4419-9790-6_30
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