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Briefing Paper on Text and Data Mining and the Need for a Science-friendly EU Copyright Reform
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.Download resource
This Practical Guide provides guidance to ensure the long-term preservation and accessibility of research data. Three complementary maturity matrices provide funders, performers, and data infrastructures with a way to create a common understanding of the approaches needed.
Developed by experts from Science Europe Member Organisations, this guide aims to align research data management (RDM) requirements across research organisations. Originally released in 2019, it was updated in January 2021 to include guidance to support the evaluation of data management plans (DMPs).