COPYRIGHT LAW AND TEXT AND DATA MINING

  • Svjetlana Ivanović Docent Pravnog fakulteta Univerziteta u Istočnom Sarajevu
Keywords: copyright, text and data mining, Directive 2019/790, exceptions and limitations on copyright, scientific research

Abstract


Digital environment poses new challenges to the traditional concept of copyright protection. Digital copies of works, new forms of exploitation of protected subject matter, the impossibility of adequate enforcement of intellectual property rights on the Internet and, in this regard, the reexamination of the role of intermediaries, are just some of the issues that have occupied the scientific and professional public. New circumstances necessarily impose changes in the copyright protection regime and the introduction of new rights, but also new exceptions and limitations on copyright. Directive on copyright and related rights in the Digital Single Market introduced in EU legislation exceptions for text and data mining. In the digital environment, in conditions when we have large amount of data, an analytical technique is used, more precisely text and data collection and processing, aimed at finding correlations and patterns, and extracting information from large amount of data, using automated technique. Text and data mining may be performed in variety of fields and for different purposes, for scientific research, research in journalism, medicine, business or for market research purposes. The text and data may be protected by copyright and then the question of possible infringement of rights is raised. For this reason, the new Directive introduced two mandatory exceptions on copyright and related rights for the purpose of text and data mining, one of which is explicitly provided for the purposes of scientific research. The exceptions are important for the freedom of scientific research in the digital environment, but also for some issues related to the development of artificial intelligence.

References

Бесаровић, В. Жарковић, Б. (1999). Интелектуална својина: Међународни уговори. Београд: Досије.
Ducato, R. Strowel, A. (2021). Ensuring Text and Data Mining: Remaining Issues With the EU Copyright Exceptions and Possible Ways Out. European Intellectual Property Review. 5. Преузето 8.06.2021. https://ssrn.com/abstract=3829858.
Dusollier, S. (2020). The 2019 Directive on Copyright in the Digital Single Market: Some progress, a few bad choices, and an overall failed ambition. Common Market Law Review. 4 (57). 979-1030.
Dusollier, S. (2018). Realigning Economic Rights with Exploitation of Works: The Control of Authors over the Circulation of Works in the Public Sphere. У Hugenholtz, B. (ed.). Copyright Reconstructed: Rethinking Copyright’s Economic Rights in a Time of Highly Dynamic Technological and Economic Change. Kluwer Law International. 163-201.
Geiger, C. (2021). The Missing Goal-Scorers in the Artificial Intelligence Team: Of Big Data, the Fundamental Right to Research and the failed Text and Data Mining limitations in the CSDM Directive. PIJIP/TLS Research Paper Series. 66. Преузето 24.07.2021. https://digitalcommons.wcl.american.edu/research/66.
Geiger, C. Frosio, G. Bulayenko, O. (2019). Text and Data Mining: Articles 3 and 4 of the Directive 2019/790/EU. Center for International Intellectual Property Studies Research Paper No. 2019-08. Преузето 10.03.2021. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3470653.
Margoni, T. Dore, G. (2016). Why We Need a Text and Data Mining Exception (But it is Not Enough). Преузето 21.04.2021. INTEROP-13.pdf (interop2016.github.io).
Margoni, T. Kretschmer, M. (2021). A Deeper Look Into the EU Text and Data Mining Exceptions, Harmonization, Data Ownership and the Future of Technology. CREATE Working Paper 2021/7.
Марковић, С. (2019). Информационо друштво између права интелектуалне својине и јавног домена. Зборник радова Правног факултета у Новом Саду. 3 (LIII). 833-856.
Радовановић, С. (2018). Отворена наука и ауторско право, с посебним освртом на Предлог директиве ЕУ о ауторском праву на јединственом дигиталном тржишту. У Поповић, Д. (ур.). Интелектуална својина и интернет. Београд: Правни факултет Универзитета у Београду. 21-36.
Raue, B. (2018). Free Flow of Data? The Friction Between the Commission’s European Data Economy Initiative and the Proposed Directive on Copyright in the Digital Single Market. International Review of Intellectual Property and Competition Law – IIC. 4 (49). 379-383.
Rosati, E. (2019). Copyright as an Obstacle or an Enabler? A European Perspective on Text and Data Mining and its Role in the Development of AI Creativity. Asia Pacific Law Review. Преузето 12.02.2021. https://ssrn.com/abstract=3452376.
Sag, M. (2019). The New Legal Landscape for Text Mining and Machine Learning. Journal of the Copyright Society of the USA. 66. Преузето 13.04.2021. https://ssrn.com/abstract=3331606.
Sganga, C. (2020). A New Era for EU Copyright Exceptions and Limitations? Judicial Flexibility and Legislative Discretion in the Aftermath of the Directive on Copyright in the Digital Single Market and the Trio of the Grand Chamber of the European Court of Justice. ERA Forum. 21. Преузето 14.04.2021. https://ssrn.com/abstract=3804228.
Triaille, J.P. Meeûs d’Argenteuil, J. De Francquen, A. (2014). Study on the legal framework of text and data mining (TDM). Преузето 02.04.2021. https://op.europa.eu/en/publication-detail/-/publication/074ddf78-01e9-4a1d-9895-65290705e2a5/language-en.
Hilty, R. Richter, R. (2017). Position Statement of the Max Planck Institute for Innovation and Competition on the Proposed Modernisation of European Copyright Rules, Part B Exceptions and Limitations (Art. 3 – Text and Data Mining). Max Planck Institute for Innovation & Competition Research Paper.17-02. Преузето 12.042021. https://ssrn.com/abstract=2900110.
Hugenholtz, P. B. (1996). Adapting Copyright to the Information Superhighway. У Hugenholtz, P. B. (ed.). The Future of Copyright in a Digital Environment. The Hague – London – Boston: Kluwer Law International.
Carroll, M. W. (2019). Copyright and the Progress of Science: Why Text and Data Mining Is Lawful. University of California, Davis Law Review. 53. 893-964.
Chiou, T. (2019). Copyright lessons on Machine Learning: what impact on algorithmic art? Journal of Intellectual Property, Information Technology and E-Commerce Law – JIPITEC. 10 (3). 398-411.
Закон о ауторском и сродним правима. Службени гласник БиХ. Бр. 63. 2010.
Закон о ауторском и сродним правима. Службени гласник РС. Бр. 104/2009, 99/2011, 119/2012, 29/2016 – одлука УС и 66/2019.
Директива ЕУ 2019/790 о ауторском праву и сродним правима на јединственом дигиталном тржишту и измјени директива 96/9/ЕЗ и 2001/29/ЕЗ. Службени лист ЕУ. L 130/92. 17. мај 2019.
Директива 2001/29/ЕЗ о хармонизацији одређених аспеката ауторског и сродних права у информационом друштву. Службени лист ЕЗ. L 167. 22. јун 2001.
Директивa 2009/24/ЕЗ о правној заштити рачунарских програма. Службени лист ЕЗ. L 111/16. 5 мај 2009.
Директива 96/9/ЕЗ о правној заштити база података. Службени лист ЕЗ. L 77/20. 27. март 1996.
Устав Републике Србије. Службени гласник РС. Бр. 98. 2006.
Бернска конвенција о заштити књижевних и умјетничких дјела. 1886.
Пресуда Суда правде Европске уније. С-5/08 Infopaq International v Danske Dagblades Forening [2009]. ECLI:EU:C:2009:465.
Proposal for a Directive of the European Parliament and of the Council on copyright on the Digital Single Market. COM (2016) 593 final.
Published
2022/01/26
Section
Review Paper