scholarly journals The Exception for Text and Data Mining (TDM) in the Proposed Directive on Copyright in the Digital Single Market - Legal Aspects

Author(s):  
Christophe Geiger ◽  
Giancarlo Frosio ◽  
Oleksandr Bulayenko
2021 ◽  
pp. 25-59
Author(s):  
Eleonora Rosati

This chapter focuses on the laws about text and data mining for scientific researchstipulated under Article 3 of the Directive 2019/790 or copyright directive of the Digital Single Market in Europe. It examines the legislation that require Member States to provide an exception for reproductions and extractions made by research organisations and cultural heritage institutions on text and data mining of works or other subject matter for the purposes of scientific research. It also stresses that copies of works or other subject matter on text and data mining will be stored with an appropriate level of security and retained for the purposes of scientific research. The chapter talks about rightholders, which are allowed to apply measures to ensure the security and integrity of the networks and databases. It mentions Member States that encourage rightholders, research organisations, and cultural heritage institutions to define commonly agreed best practices concerning the application of the obligation and measures on text and data mining.


2020 ◽  
Vol 12 (1) ◽  
pp. 247
Author(s):  
Vanessa Jiménez Serranía

 Resumen: La Directiva 2019/790 del Parlamento Europeo y del Consejo de 17 de abril de 2019 sobre los derechos de autor y derechos afines en el mercado único digital ha implementado ciertas excepciones sobre la minería de textos y datos. Pese a que, a priori, podría parecer que se ofrece un impulso importante a este tipo de actividades sus efectos en la práctica quedan mitigados por el encorsetamiento de su formulación que, incluso, es susceptible de generar distorsiones competitivas. Este artículo pretende dar una visión sucinta y crítica sobre estas nuevas excepciones y plantear ciertas vías de mejora futura.Palabras clave: Big Data, minería de textos y datos, Internet de las cosas, Inteligencia Artificial, Mercado Único Digital, Directiva 2019/790, excepciones al derecho de autor, “uso justo”, regla de los tres pasos, doctrina de las facilidades esenciales, competencia, innovación.Abstract: Directive 2019/790 of the European Parliament and of the Council of 17 April 2019 on copyright and related rights in the digital single market has implemented certain exceptions on text and data mining. Although these exceptions might seem to provide a significant boost to this type of activities, their effects in practice are mitigated by the tightening of its wording, which is even likely to generate competitive distortions. This article aims to give a succinct and critical review of these new exceptions and to suggest some ways of improvement for the near future.Keywords: Big Data, Text and Data Mining (TDM), IoT, AI, Single Digital Market, Directive 2019/790, copyright limitations, “fair use”, “three-steps doctrine”, esencial facilities doctrine, competition, innovation.


2014 ◽  
Vol 20 (11/12) ◽  
Author(s):  
Michelle Brook ◽  
Peter Murray-Rust ◽  
Charles Oppenheim

2021 ◽  
Vol 64 (11) ◽  
pp. 20-22
Author(s):  
Pamela Samuelson

How copyright law might be an impediment to text and data mining research.


2021 ◽  
Vol 09 (05) ◽  
pp. 502-539
Author(s):  
Maria-Daphne Papadopoulou ◽  
Krystallenia Kolotourou ◽  
Maria Bottis

2013 ◽  
Vol 210 (4) ◽  
pp. 643-645
Author(s):  
Mike Rossner

The existing public access policy for our three journals—The Journal of Cell Biology, The Journal of Experimental Medicine, and The Journal of General Physiology—is fully compliant with new policies from the Research Councils UK (RCUK) and the Wellcome Trust. In addition to mandating public access, the new policies specify licensing terms for reuse of content by third parties, in particular for text and data mining. We question the need for these specific terms, and we have added a statement to our licensing policy stipulating that anyone, including commercial entities, is permitted to mine our published text and data.


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