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Text and data mining (TDM) is hugely important for science as it can facilitate better research and the free flow of knowledge across borders. This report urges policy-makers to update the legal framework in the context of the upcoming EU copyright reform in order to allow TDM for commercial and non-commercial means, and also to clarify the legal position surrounding it.

This publication by Science Europe’s Scientific Committee for the Social Sciences addresses two audiences: scientists, especially those who have been traditionally more resistant to the OA approach, and policy makers. In it, the Scientific Committee for Social Sciences proposes a ‘Diamond Engagement’ concept with the three key principles: partnership; standardisation and interoperability; and enabling structures.

Text and Data Mining (TDM) helps the analysis and extraction of new insights and knowledge from vast amount of digitally-available content. It offers great potential for research, but also for the economy and society as a whole since it enables innovation. This paper gives an overview of some of the legal hurdles faced by researchers using TDM practices, flags possible action lines for research organisations, and calls for a more science-friendly EU copyright law.

The Roadmap, approved by the Science Europe General Assembly in November 2013, is Science Europe’s action plan to contribute to the elements of a successful research system. It acts as a framework for voluntary collective activity, providing a long-term strategy for the association. The ‘Priority Action Areas’ are those in which Science Europe members believe that there is a potential to achieve tangible and substantive progress, and where they can add real value by working together.