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An EU text and data mining exception for the few: would it make sense?

An EU text and data mining exception for the few: would it make sense?
An EU text and data mining exception for the few: would it make sense?
In the age of Big Data the value of data does not lie in data or text considered in their isolation, but rather in the extraction of such value. This requires that text and data be analyzed, to thus enable the discovery of new patterns and relations. While a task of this kind would be virtually impossible to perform manually, text and data mining (TDM) techniques allow it easily.

In 2016 the EU Commission issued a proposal for a Directive on Copyright in the Digital Single Market (DSM Directive) which, among other things, includes a new mandatory exception allowing research organizations to make reproductions and extractions in order to carry out TDM of works or other subject-matter...
1747-1532
429-430
Rosati, Eleonora
bd04e7f8-e14b-4e43-975e-77bc5abaa8a4
Rosati, Eleonora
bd04e7f8-e14b-4e43-975e-77bc5abaa8a4

Rosati, Eleonora (2018) An EU text and data mining exception for the few: would it make sense? Journal of Intellectual Property Law & Practice, 13 (6), 429-430. (doi:10.1093/jiplp/jpy063).

Record type: Editorial

Abstract

In the age of Big Data the value of data does not lie in data or text considered in their isolation, but rather in the extraction of such value. This requires that text and data be analyzed, to thus enable the discovery of new patterns and relations. While a task of this kind would be virtually impossible to perform manually, text and data mining (TDM) techniques allow it easily.

In 2016 the EU Commission issued a proposal for a Directive on Copyright in the Digital Single Market (DSM Directive) which, among other things, includes a new mandatory exception allowing research organizations to make reproductions and extractions in order to carry out TDM of works or other subject-matter...

Text
An EU text and data mining exception for the few - Accepted Manuscript
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Accepted/In Press date: 28 March 2018
e-pub ahead of print date: 18 April 2018
Published date: 1 June 2018

Identifiers

Local EPrints ID: 419309
URI: http://eprints.soton.ac.uk/id/eprint/419309
ISSN: 1747-1532
PURE UUID: 15ca76a7-8a59-4031-bdc5-00f5dc83a6ef
ORCID for Eleonora Rosati: ORCID iD orcid.org/0000-0002-7357-5978

Catalogue record

Date deposited: 10 Apr 2018 16:30
Last modified: 16 Mar 2024 06:26

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Author: Eleonora Rosati ORCID iD

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