A linked democracy approach for regulating public health data

Casanovas, P, Mendelson, D and Poblet Balcell, M 2017, 'A linked democracy approach for regulating public health data', Health and Technology, vol. 7, no. 4, pp. 519-537.


Document type: Journal Article
Collection: Journal Articles

Title A linked democracy approach for regulating public health data
Author(s) Casanovas, P
Mendelson, D
Poblet Balcell, M
Year 2017
Journal name Health and Technology
Volume number 7
Issue number 4
Start page 519
End page 537
Total pages 19
Publisher Springer
Abstract This article addresses the problem of constructing a public space to build sustainable data ecosystems for the biomedical field. It outlines three models of democracy -deliberative, epistemic, and linked- where privacy and data protection can be explored in connection with the existing ethical frameworks for Public Health Data, and the Theory of Justice. For the construction of a sustainable public space, it suggests exploring the analytical dimension of Linked Democracy, and the need for building new tools to regulate 'Linked Open Data', based on rule of law and the analytical dimension of the meta-rule of law. The construction of 'intermediate' or 'anchoring' institutions would help in embedding the protections of the rule of law into specific e cosystems (including direct, indirect and tactic modelling of privacy by design).
Subject Information and Computing Sciences not elsewhere classified
Keyword(s) Electronic health records
Identity
Linked democracy
Meta-rule of law
Privacy by design
Web of data
DOI - identifier 10.1007/s12553-017-0191-5
Copyright notice © IUPESM and Springer-Verlag Berlin Heidelberg 2017
ISSN 2190-7188
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 12 Abstract Views  -  Detailed Statistics
Created: Wed, 19 Sep 2018, 13:27:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us