4 Amendments of Pilar del CASTILLO VERA related to 2016/0280(COD)
Amendment 15 #
Proposal for a directive
Recital 5 a (new)
Recital 5 a (new)
(5 a) In the fields of research, education and preservation of cultural heritage, digital technologies permit new types of uses that are not clearly covered by the current Union rules on exceptions and limitations. In addition, the optional nature of exceptions and limitations provided for in Directives 2001/29/EC, 96/9/EC and 2009/24/EC in these fields may negatively impact the functioning of the internal market. This is particularly relevant as regards cross-border uses, which are becoming increasingly important in the digital environment. Therefore, the existing exceptions and limitations in Union law that are relevant for innovation and scientific research, teaching and preservation of cultural heritage should be reassessed in the light of those new uses. Mandatory exceptions or limitations for uses of text and data mining technologies in the field of scientific research, illustration for teaching in the digital environment and for preservation of cultural heritage should be introduced. For uses not covered by the exceptions or the limitation provided for in this Directive, the exceptions and limitations existing in Union law should continue to apply. Directives 96/9/EC and 2001/29/EC should be adapted.
Amendment 21 #
Proposal for a directive
Recital 8 a (new)
Recital 8 a (new)
(8 a) New technologies enable the automated computational analysis of information in digital form, such as text, sounds, images or data, generally known as text and data mining. Those technologies allow researchers to process large amounts of information to gain new knowledge and discover new trends. Whilst text and data mining technologies are prevalent across the digital economy, there is widespread acknowledgment that text and data mining can in particular benefit the research community and in so doing encourage innovation. However, in the Union, research organisations such as universities and research institutes as well as public and private organizations, start ups and individuals are confronted with legal uncertainty as to the extent to which they can perform text and data mining of content. In certain instances, text and data mining may involve acts protected by copyright and/or by the sui generis database right, notably the reproduction of works or other subject-matter and/or the extraction of contents from a database. Where there is no exception or limitation which applies, an authorisation to undertake such acts would be required from rightholders. Text and data mining may also be carried out in relation to mere facts or data which are not protected by copyright and in such instances no authorisation would be required.
Amendment 25 #
Proposal for a directive
Recital 9 a (new)
Recital 9 a (new)
(9 a) Union law already provides certain exceptions and limitations covering uses for scientific research purposes which may apply to acts of text and data mining. However, those exceptions and limitations are optional and not fully adapted to the use of technologies in scientific research. Moreover, where researchers have lawful access to content, for example through subscriptions to publications or open access licences, the terms of the licences may exclude text and data mining. As research is increasingly carried out with the assistance of digital technology, there is a risk that the Union's competitive position as a research area and a data economy leader will suffer unless steps are taken to address the legal uncertainty for text and data mining.
Amendment 141 #
Proposal for a directive
Article 3 – paragraph 1 a (new)
Article 3 – paragraph 1 a (new)
1 a. article 3 – paragraph 1 1. Member States shall provide for an exception to the rights provided for in Article 2 of Directive 2001/29/EC, Articles 5(a) and 7(1) of Directive 96/9/EC and Article 11(1) of this Directive for reproductions and extractions made by researchers, industry, public and private organisations, startups and individuals in order to carry out text and data mining of works or other subject-matter to which they have lawful access.