Investigating the legal protection of data, information and knowledge under the EU data protection regime

Berčič, Boštjan and George, Carlisle ORCID logoORCID: https://orcid.org/0000-0002-8600-6264 (2009) Investigating the legal protection of data, information and knowledge under the EU data protection regime. International Review of Law Computers and Technology, 23 (3) . pp. 189-201. ISSN 1360-0869 [Article] (doi:10.1080/13600860903262255)

Abstract

Information science distinguishes between the semantic forms/intangibles of data,information and knowledge. Data (e.g. an attribute of a data record in a relational
database) does not have any meaning by itself. Information is data brought into context(e.g. data related to its primary key), and knowledge is the collection of information for useful intent (e.g. a database). This paper investigates the mapping of semantic forms in information science (i.e. data, information, knowledge) to correlative concepts in information law (primarily data protection legislation) with a view to investigating how
such semantic forms are legally protected. The paper first proposes a data, information, knowledge, rules (DIKR) hierarchy in the context of relational database theory, and
interprets this hierarchy with respect to data protection concepts. The paper then gives an in-depth discussion of the elements of the DIKR hierarchy (data, information,
knowledge, deduced knowledge, induced knowledge) and how they relate to the EU Data Protection Directive 95/46/EC. These relationships are summarized in the form of a two dimensional correlation matrix. Finally the paper discusses how the semantic forms identified are protected under the EU Data Protection Directive, and gives insightful observations about the connection between information law and information science.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science > Artificial Intelligence group
A. > School of Science and Technology > Computer Science > Aspects of Law and Ethics Related to Technology group
A. > School of Science and Technology > Computer Science
Item ID: 5141
Useful Links:
Depositing User: Carlisle George
Date Deposited: 26 Apr 2010 09:05
Last Modified: 13 Oct 2016 14:19
URI: https://eprints.mdx.ac.uk/id/eprint/5141

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