The Paradox of Lawful Text and Data Mining? Some Experiences from the Research Sector and Where We (Should) Go from Here

Journal article

1 online resource (page 307–319)

Scientific research can be tricky business. This article 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 Art. 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. That 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 could take now to support a more predictable and reliable legal regime for scientific TDM, and potentially code mining, to foster innovation.

Crossref

GRUR International ; 74, 4, 2025, 2632-8550.

[Oxford, England] : Oxford University Press (OUP), 2025.

English

https://academic.oup.com/grurint/article/72/3/231/6998505

External Online Journals > GRUR