The paradox of lawful text and data mining? Some experiences from the research sector and where we (should) go from here

The paradox of lawful text and data mining? Some experiences from the research sector and where we (should) go from here external link

GRUR International, vol. 74, iss. : 4, pp: 307-319, 2025

Abstract

Scientific research can be tricky business. This paper critically explores the 'lawful access' requirement in European copyright law which applies to text and data mining (TDM) carried out for the purpose of scientific research. Whereas TDM is essential for data analysis, artificial intelligence (AI) and innovation, the paper argues that the 'lawful access' requirement in Article 3 CDSM Directive may actually restrict research by complicating the applicability of the TDM provision or even rendering it inoperable. Although the requirement is intended to ensure that researchers act in good faith before deploying TMD tools for purposes such as machine learning, it forces them to ask for permission to access data, for example by taking out a subscription to a service, and for that reason provides the opportunity for copyright holders to apply all sorts of commercial strategies to set the legal and technological parameters of access and potentially even circumvent the mandatory character of the provision. The paper concludes by drawing on insights from the recent European Commission study 'Improving access to and reuse of research results, publications and data for scientific purposes' that offer essential perspectives for the future of TDM, and by suggesting a number of paths forward that EU Member States can take already now in order to support a more predictable and reliable legal regime for scientific TDM and potentially code mining to foster innovation.

Links

Artificial intelligence, CDSM Directive, Copyright, Text and Data Mining (TDM)

RIS

TY  - JOUR
AU  - Szkalej, K.
PY  - 2025
DA  - 2025-03-10
T1  - The paradox of lawful text and data mining? Some experiences from the research sector and where we (should) go from here
JO  - GRUR International
VL  - 74
IS  - 4
SP  - 307-319
UR  - https://ssrn.com/abstract=5000116
DO  - https://doi.org/10.1093/grurint/ikaf029
AB  - Scientific research can be tricky business. This paper critically explores the \'lawful access\' requirement in European copyright law which applies to text and data mining (TDM) carried out for the purpose of scientific research. Whereas TDM is essential for data analysis, artificial intelligence (AI) and innovation, the paper argues that the \'lawful access\' requirement in Article 3 CDSM Directive may actually restrict research by complicating the applicability of the TDM provision or even rendering it inoperable. Although the requirement is intended to ensure that researchers act in good faith before deploying TMD tools for purposes such as machine learning, it forces them to ask for permission to access data, for example by taking out a subscription to a service, and for that reason provides the opportunity for copyright holders to apply all sorts of commercial strategies to set the legal and technological parameters of access and potentially even circumvent the mandatory character of the provision. The paper concludes by drawing on insights from the recent European Commission study \'Improving access to and reuse of research results, publications and data for scientific purposes\' that offer essential perspectives for the future of TDM, and by suggesting a number of paths forward that EU Member States can take already now in order to support a more predictable and reliable legal regime for scientific TDM and potentially code mining to foster innovation.
K1  - Artificial intelligence
K1  - CDSM Directive
K1  - Copyright
K1  - Text and Data Mining (TDM)
ER  -

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Article{nokey,
	title = {The paradox of lawful text and data mining? Some experiences from the research sector and where we (should) go from here},
	author = {Szkalej, K.},
	url = {https://www.ivir.nl/nl/publications/the-paradox-of-lawful-text-and-data-mining-some-experiences-from-the-research-sector-and-where-we-should-go-from-here/grurint_2025_4/},
	doi = {https://doi.org/10.1093/grurint/ikaf029},
	year = {2025},
	date = {2025-03-10},
	journal = {GRUR International},
	volume = {74},
	issue = {4},
	pages = {307-319},
	abstract = {Scientific research can be tricky business. This paper critically explores the \'lawful access\' requirement in European copyright law which applies to text and data mining (TDM) carried out for the purpose of scientific research. Whereas TDM is essential for data analysis, artificial intelligence (AI) and innovation, the paper argues that the \'lawful access\' requirement in Article 3 CDSM Directive may actually restrict research by complicating the applicability of the TDM provision or even rendering it inoperable. Although the requirement is intended to ensure that researchers act in good faith before deploying TMD tools for purposes such as machine learning, it forces them to ask for permission to access data, for example by taking out a subscription to a service, and for that reason provides the opportunity for copyright holders to apply all sorts of commercial strategies to set the legal and technological parameters of access and potentially even circumvent the mandatory character of the provision. The paper concludes by drawing on insights from the recent European Commission study \'Improving access to and reuse of research results, publications and data for scientific purposes\' that offer essential perspectives for the future of TDM, and by suggesting a number of paths forward that EU Member States can take already now in order to support a more predictable and reliable legal regime for scientific TDM and potentially code mining to foster innovation.},
	keywords = {Artificial intelligence, CDSM Directive, Copyright, Text and Data Mining (TDM)},
}

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Generative AI, Copyright and the AI Act external link

Quintais, J.

Computer Law & Security Review, vol. 56, num: 106107, 2025

Abstract

This paper provides a critical analysis of the Artificial Intelligence (AI) Act's implications for the European Union (EU) copyright acquis, aiming to clarify the complex relationship between AI regulation and copyright law while identifying areas of legal ambiguity and gaps that may influence future policymaking. The discussion begins with an overview of fundamental copyright concerns related to generative AI, focusing on issues that arise during the input, model, and output stages, and how these concerns intersect with the text and data mining (TDM) exceptions under the Copyright in the Digital Single Market Directive (CDSMD). The paper then explores the AI Act's structure and key definitions relevant to copyright law. The core analysis addresses the AI Act's impact on copyright, including the role of TDM in AI model training, the copyright obligations imposed by the Act, requirements for respecting copyright law—particularly TDM opt-outs—and the extraterritorial implications of these provisions. It also examines transparency obligations, compliance mechanisms, and the enforcement framework. The paper further critiques the current regime's inadequacies, particularly concerning the fair remuneration of creators, and evaluates potential improvements such as collective licensing and bargaining. It also assesses legislative reform proposals, such as statutory licensing and AI output levies, and concludes with reflections on future directions for integrating AI governance with copyright protection.

Links

AI Act, Content moderation, Copyright, Digital Services Act (DSA), Generative AI, Text and Data Mining (TDM), Transparency

RIS

TY  - JOUR
AU  - Quintais, J.
PY  - 2025
DA  - 2025-01-30
T1  - Generative AI, Copyright and the AI Act
JO  - Computer Law & Security Review
VL  - 56
NV  - 106107
UR  - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4912701
DO  - https://doi.org/10.1016/j.clsr.2025.106107
AB  - This paper provides a critical analysis of the Artificial Intelligence (AI) Act\'s implications for the European Union (EU) copyright acquis, aiming to clarify the complex relationship between AI regulation and copyright law while identifying areas of legal ambiguity and gaps that may influence future policymaking. The discussion begins with an overview of fundamental copyright concerns related to generative AI, focusing on issues that arise during the input, model, and output stages, and how these concerns intersect with the text and data mining (TDM) exceptions under the Copyright in the Digital Single Market Directive (CDSMD).
The paper then explores the AI Act\'s structure and key definitions relevant to copyright law. The core analysis addresses the AI Act\'s impact on copyright, including the role of TDM in AI model training, the copyright obligations imposed by the Act, requirements for respecting copyright law—particularly TDM opt-outs—and the extraterritorial implications of these provisions. It also examines transparency obligations, compliance mechanisms, and the enforcement framework. The paper further critiques the current regime\'s inadequacies, particularly concerning the fair remuneration of creators, and evaluates potential improvements such as collective licensing and bargaining. It also assesses legislative reform proposals, such as statutory licensing and AI output levies, and concludes with reflections on future directions for integrating AI governance with copyright protection.
K1  - AI Act
K1  - Content moderation
K1  - Copyright
K1  - Digital Services Act (DSA)
K1  - Generative AI
K1  - Text and Data Mining (TDM)
K1  - Transparency
ER  -

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Bibtex

Article{nokey,
	title = {Generative AI, Copyright and the AI Act},
	author = {Quintais, J.},
	url = {https://www.sciencedirect.com/science/article/pii/S0267364925000020},
	doi = {https://doi.org/10.1016/j.clsr.2025.106107},
	year = {2025},
	date = {2025-01-30},
	journal = {Computer Law & Security Review},
	volume = {56},
	number = {106107},
	abstract = {This paper provides a critical analysis of the Artificial Intelligence (AI) Act\'s implications for the European Union (EU) copyright acquis, aiming to clarify the complex relationship between AI regulation and copyright law while identifying areas of legal ambiguity and gaps that may influence future policymaking. The discussion begins with an overview of fundamental copyright concerns related to generative AI, focusing on issues that arise during the input, model, and output stages, and how these concerns intersect with the text and data mining (TDM) exceptions under the Copyright in the Digital Single Market Directive (CDSMD).
The paper then explores the AI Act\'s structure and key definitions relevant to copyright law. The core analysis addresses the AI Act\'s impact on copyright, including the role of TDM in AI model training, the copyright obligations imposed by the Act, requirements for respecting copyright law—particularly TDM opt-outs—and the extraterritorial implications of these provisions. It also examines transparency obligations, compliance mechanisms, and the enforcement framework. The paper further critiques the current regime\'s inadequacies, particularly concerning the fair remuneration of creators, and evaluates potential improvements such as collective licensing and bargaining. It also assesses legislative reform proposals, such as statutory licensing and AI output levies, and concludes with reflections on future directions for integrating AI governance with copyright protection.},
	keywords = {AI Act, Content moderation, Copyright, Digital Services Act (DSA), Generative AI, Text and Data Mining (TDM), Transparency},
}

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Machine readable or not? – notes on the hearing in LAION e.v. vs Kneschke external link

Keller, P.

Kluwer Copyright Blog, 2024

Links

https://copyrightblog.kluweriplaw.com/2024/07/22/machine-readable-or-not-notes-on-the-hearing-in-laion-e-v-vs-kneschke/

Artificial intelligence, Germany, Text and Data Mining (TDM)

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TDM: Poland challenges the rule of EU copyright law external link

Keller, P.

Kluwer Copyright Blog, 2024

Links

https://copyrightblog.kluweriplaw.com/2024/02/20/tdm-poland-challenges-the-rule-of-eu-copyright-law/

Copyright, EU, Poland, Text and Data Mining (TDM)

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Generative AI and copyright: Convergence of opt-outs? external link

Keller, P.

Kluwer Copyright Blog, 2023

Links

https://legalblogs.wolterskluwer.com/copyright-blog/generative-ai-and-copyright-convergence-of-opt-outs/

convergence, Copyright, Generative AI, Text and Data Mining (TDM)

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Generative AI and Author Remuneration

Senftleben, M.

IIC, vol. 54, pp: 1535-1560, 2023

Abstract

With the evolution of generative AI systems, machine-made productions in the literary and artistic field have reached a level of refinement that allows them to replace human creations. The increasing sophistication of AI systems will inevitably disrupt the market for human literary and artistic works. Generative AI systems provide literary and artistic output much faster and cheaper. It is therefore foreseeable that human authors will be exposed to substitution effects. They may lose income as they are replaced by machines in sectors ranging from journalism and writing to music and visual arts. Considering this trend, the question arises whether it is advisable to take measures to compensate human authors for the reduction in their market share and income. Copyright law could serve as a tool to introduce an AI levy system and ensure the payment of equitable remuneration. In combination with mandatory collective rights management, the new revenue stream could be used to finance social and cultural funds that improve the working and living conditions of flesh-and-blood authors.

Links

DOI: https://doi.org/10.1007/s40319-023-01399-4

collective rights management, Copyright, Freedom of expression, Text and Data Mining (TDM), three-step test

RIS

TY  - JOUR
AU  - Senftleben, M.
PY  - 2023
DA  - 2023-11-07
T1  - Generative AI and Author Remuneration
JO  - IIC
VL  - 54
SP  - 1535-1560
DO  - https://doi.org/10.1007/s40319-023-01399-4
AB  - With the evolution of generative AI systems, machine-made productions in the literary and artistic field have reached a level of refinement that allows them to replace human creations. The increasing sophistication of AI systems will inevitably disrupt the market for human literary and artistic works. Generative AI systems provide literary and artistic output much faster and cheaper. It is therefore foreseeable that human authors will be exposed to substitution effects. They may lose income as they are replaced by machines in sectors ranging from journalism and writing to music and visual arts. Considering this trend, the question arises whether it is advisable to take measures to compensate human authors for the reduction in their market share and income. Copyright law could serve as a tool to introduce an AI levy system and ensure the payment of equitable remuneration. In combination with mandatory collective rights management, the new revenue stream could be used to finance social and cultural funds that improve the working and living conditions of flesh-and-blood authors.
K1  - collective rights management
K1  - Copyright
K1  - Freedom of expression
K1  - Text and Data Mining (TDM)
K1  - three-step test
ER  -

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Bibtex

Article{nokey,
	title = {Generative AI and Author Remuneration},
	author = {Senftleben, M.},
	doi = {https://doi.org/10.1007/s40319-023-01399-4},
	year = {2023},
	date = {2023-11-07},
	journal = {IIC},
	volume = {54},
	pages = {1535-1560},
	abstract = {With the evolution of generative AI systems, machine-made productions in the literary and artistic field have reached a level of refinement that allows them to replace human creations. The increasing sophistication of AI systems will inevitably disrupt the market for human literary and artistic works. Generative AI systems provide literary and artistic output much faster and cheaper. It is therefore foreseeable that human authors will be exposed to substitution effects. They may lose income as they are replaced by machines in sectors ranging from journalism and writing to music and visual arts. Considering this trend, the question arises whether it is advisable to take measures to compensate human authors for the reduction in their market share and income. Copyright law could serve as a tool to introduce an AI levy system and ensure the payment of equitable remuneration. In combination with mandatory collective rights management, the new revenue stream could be used to finance social and cultural funds that improve the working and living conditions of flesh-and-blood authors.},
	keywords = {collective rights management, Copyright, Freedom of expression, Text and Data Mining (TDM), three-step test},
}

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Compliance of National TDM Rules with International Copyright Law: An Overrated Nonissue? external link

Senftleben, M.

IIC - International Review of Intellectual Property and Competition Law, vol. 53, pp: 1477-1505, 2022

Abstract

Seeking to devise an adequate regulatory framework for text and data mining (TDM), countries around the globe have adopted different approaches. While considerable room for TDM can follow from the application of fair use provisions (US) and broad statutory exemptions (Japan), countries in the EU rely on a more restrictive regulation that is based on specific copyright exceptions. Surveying this spectrum of existing approaches, lawmakers in countries seeking to devise an appropriate TDM regime may wonder whether the adoption of a restrictive approach is necessary in the light of international copyright law. In particular, they may feel obliged to ensure compliance with the three-step test laid down in Art. 9(2) of the Berne Convention, Art. 13 of the TRIPS Agreement and Art. 10 of the WIPO Copyright Treaty. Against this background, the analysis raises the question whether international copyright law covers TDM activities at all. TDM does not concern a traditional category of use that could have been contemplated at the diplomatic conferences leading to the current texts of the Berne Convention, the TRIPS Agreement and the WIPO Copyright Treaty. It is an automated, analytical type of use that does not affect the expressive core of literary and artistic works. Arguably, TDM constitutes a new category of copying that falls outside the scope of international copyright harmonization altogether.

Links

Artificial intelligence, Auteursrecht, Text and Data Mining (TDM)

RIS

TY  - JOUR
AU  - Senftleben, M.
PY  - 2022
DA  - 2022-11-25
T1  - Compliance of National TDM Rules with International Copyright Law: An Overrated Nonissue?
JO  - IIC - International Review of Intellectual Property and Competition Law
VL  - 53
SP  - 1477-1505
UR  - https://link.springer.com/article/10.1007/s40319-022-01266-8
DO  - https://doi.org/10.1007/s40319-022-01266-8
AB  - Seeking to devise an adequate regulatory framework for text and data mining (TDM), countries around the globe have adopted different approaches. While considerable room for TDM can follow from the application of fair use provisions (US) and broad statutory exemptions (Japan), countries in the EU rely on a more restrictive regulation that is based on specific copyright exceptions. Surveying this spectrum of existing approaches, lawmakers in countries seeking to devise an appropriate TDM regime may wonder whether the adoption of a restrictive approach is necessary in the light of international copyright law. In particular, they may feel obliged to ensure compliance with the three-step test laid down in Art. 9(2) of the Berne Convention, Art. 13 of the TRIPS Agreement and Art. 10 of the WIPO Copyright Treaty. Against this background, the analysis raises the question whether international copyright law covers TDM activities at all. TDM does not concern a traditional category of use that could have been contemplated at the diplomatic conferences leading to the current texts of the Berne Convention, the TRIPS Agreement and the WIPO Copyright Treaty. It is an automated, analytical type of use that does not affect the expressive core of literary and artistic works. Arguably, TDM constitutes a new category of copying that falls outside the scope of international copyright harmonization altogether.
K1  - Artificial intelligence
K1  - Auteursrecht
K1  - Text and Data Mining (TDM)
ER  -

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Bibtex

Article{nokey,
	title = {Compliance of National TDM Rules with International Copyright Law: An Overrated Nonissue?},
	author = {Senftleben, M.},
	doi = {https://doi.org/10.1007/s40319-022-01266-8},
	year = {2022},
	date = {2022-11-25},
	journal = {IIC - International Review of Intellectual Property and Competition Law},
	volume = {53},
	pages = {1477-1505},
	abstract = {Seeking to devise an adequate regulatory framework for text and data mining (TDM), countries around the globe have adopted different approaches. While considerable room for TDM can follow from the application of fair use provisions (US) and broad statutory exemptions (Japan), countries in the EU rely on a more restrictive regulation that is based on specific copyright exceptions. Surveying this spectrum of existing approaches, lawmakers in countries seeking to devise an appropriate TDM regime may wonder whether the adoption of a restrictive approach is necessary in the light of international copyright law. In particular, they may feel obliged to ensure compliance with the three-step test laid down in Art. 9(2) of the Berne Convention, Art. 13 of the TRIPS Agreement and Art. 10 of the WIPO Copyright Treaty. Against this background, the analysis raises the question whether international copyright law covers TDM activities at all. TDM does not concern a traditional category of use that could have been contemplated at the diplomatic conferences leading to the current texts of the Berne Convention, the TRIPS Agreement and the WIPO Copyright Treaty. It is an automated, analytical type of use that does not affect the expressive core of literary and artistic works. Arguably, TDM constitutes a new category of copying that falls outside the scope of international copyright harmonization altogether.},
	keywords = {Artificial intelligence, Auteursrecht, Text and Data Mining (TDM)},
}

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Implementing User Rights for Research in the Field of Artificial Intelligence: A Call for International Action external link

Flynn, S., Geiger, C., Quintais, J., Margoni, T., Sag, M., Guibault, L. & Carroll, M.

European Intellectual Property Review, vol. 2020, num: 7, 2020

Abstract

Last year, before the onset of a global pandemic highlighted the critical and urgent need for technology-enabled scientific research, the World Intellectual Property Organization (WIPO) launched an inquiry into issues at the intersection of intellectual property (IP) and artificial intelligence (AI). We contributed comments to that inquiry, with a focus on the application of copyright to the use of text and data mining (TDM) technology. This article describes some of the most salient points of our submission and concludes by stressing the need for international leadership on this important topic. WIPO could help fill the current gap on international leadership, including by providing guidance on the diverse mechanisms that countries may use to authorize TDM research and serving as a forum for the adoption of rules permitting cross-border TDM projects.

Links

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3578819

Artificial intelligence, Auteursrecht, frontpage, machine learning, tdm, Text and Data Mining (TDM)

RIS

TY  - JOUR
AU  - Flynn, S.
AU  - Geiger, C.
AU  - Quintais, J.
AU  - Margoni, T.
AU  - Sag, M.
AU  - Guibault, L.
AU  - Carroll, M.
PY  - 0421
DA  - 2020-04-21
T1  - Implementing User Rights for Research in the Field of Artificial Intelligence: A Call for International Action
JO  - European Intellectual Property Review
VL  - 2020
NV  - 7
UR  - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3578819
AB  - Last year, before the onset of a global pandemic highlighted the critical and urgent need for technology-enabled scientific research, the World Intellectual Property Organization (WIPO) launched an inquiry into issues at the intersection of intellectual property (IP) and artificial intelligence (AI). We contributed comments to that inquiry, with a focus on the application of copyright to the use of text and data mining (TDM) technology. This article describes some of the most salient points of our submission and concludes by stressing the need for international leadership on this important topic. WIPO could help fill the current gap on international leadership, including by providing guidance on the diverse mechanisms that countries may use to authorize TDM research and serving as a forum for the adoption of rules permitting cross-border TDM projects.
K1  - Artificial intelligence
K1  - Auteursrecht
K1  - frontpage
K1  - machine learning
K1  - tdm
K1  - Text and Data Mining (TDM)
ER  -

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Bibtex

Article{Flynn2020b,
	title = {Implementing User Rights for Research in the Field of Artificial Intelligence: A Call for International Action},
	author = {Flynn, S. and Geiger, C. and Quintais, J. and Margoni, T. and Sag, M. and Guibault, L. and Carroll, M.},
	year = {0421},
	date = {2020-04-21},
	journal = {European Intellectual Property Review},
	volume = {2020},
	number = {7},
	abstract = {Last year, before the onset of a global pandemic highlighted the critical and urgent need for technology-enabled scientific research, the World Intellectual Property Organization (WIPO) launched an inquiry into issues at the intersection of intellectual property (IP) and artificial intelligence (AI). We contributed comments to that inquiry, with a focus on the application of copyright to the use of text and data mining (TDM) technology. This article describes some of the most salient points of our submission and concludes by stressing the need for international leadership on this important topic. WIPO could help fill the current gap on international leadership, including by providing guidance on the diverse mechanisms that countries may use to authorize TDM research and serving as a forum for the adoption of rules permitting cross-border TDM projects.},
	keywords = {Artificial intelligence, Auteursrecht, frontpage, machine learning, tdm, Text and Data Mining (TDM)},
}

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The New Copyright in the Digital Single Market Directive: A Critical Look external link

Quintais, J.

European Intellectual Property Review, vol. 42, num: 1, pp: 28-41, 2020

Abstract

This article provides an overview and critical examination of the new Directive on copyright and related rights in the Digital Single Market. Despite some positive aspects, the Directive includes multiple problematic provisions, including the controversial new right for press publishers and the new liability regime for content-sharing platforms. On balance, the Directive denotes a normative preference for private ordering over public choice in EU copyright law, and lacks adequate safeguards for users. It is also a complex text with multiple ambiguities, which will likely fail promote the desired harmonization and legal certainty in this area.

Links

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3424770

Collective licensing, Copyright, digital content, Digital Single Market, EU law, exceptions and limitations, frontpage, Licensing, Online services, Text and Data Mining (TDM)

RIS

TY  - JOUR
AU  - Quintais, J.
PY  - 0107
DA  - 2020-01-07
T1  - The New Copyright in the Digital Single Market Directive: A Critical Look
JO  - European Intellectual Property Review
VL  - 42
NV  - 1
SP  - 28-41
UR  - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3424770
AB  - This article provides an overview and critical examination of the new Directive on copyright and related rights in the Digital Single Market. Despite some positive aspects, the Directive includes multiple problematic provisions, including the controversial new right for press publishers and the new liability regime for content-sharing platforms. On balance, the Directive denotes a normative preference for private ordering over public choice in EU copyright law, and lacks adequate safeguards for users. It is also a complex text with multiple ambiguities, which will likely fail promote the desired harmonization and legal certainty in this area.
K1  - Collective licensing
K1  - Copyright
K1  - digital content
K1  - Digital Single Market
K1  - EU law
K1  - exceptions and limitations
K1  - frontpage
K1  - Licensing
K1  - Online services
K1  - Text and Data Mining (TDM)
ER  -

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Bibtex

Article{Quintais2019e,
	title = {The New Copyright in the Digital Single Market Directive: A Critical Look},
	author = {Quintais, J.},
	year = {0107},
	date = {2020-01-07},
	journal = {European Intellectual Property Review},
	volume = {42},
	number = {1},
	pages = {28-41},
	abstract = {This article provides an overview and critical examination of the new Directive on copyright and related rights in the Digital Single Market. Despite some positive aspects, the Directive includes multiple problematic provisions, including the controversial new right for press publishers and the new liability regime for content-sharing platforms. On balance, the Directive denotes a normative preference for private ordering over public choice in EU copyright law, and lacks adequate safeguards for users. It is also a complex text with multiple ambiguities, which will likely fail promote the desired harmonization and legal certainty in this area.},
	keywords = {Collective licensing, Copyright, digital content, Digital Single Market, EU law, exceptions and limitations, frontpage, Licensing, Online services, Text and Data Mining (TDM)},
}

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Text and Data Mining in the Proposed Directive: Where do we stand? external link

Zeybek, B.

Links

http://copyrightblog.kluweriplaw.com/2018/03/23/text-data-mining-proposed-directive-stand/

Copyright, directive, frontpage, Text and Data Mining (TDM)

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