Skip to content
07.04.2015

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.

DOI: doi.org/10.5281/zenodo.5060013

Download resource

Member-only content is available on this page. Please log in to view this content.

Related content

02.06.2021

Practical Guide to Sustainable Research Data

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.

27.01.2021

Practical Guide to the International Alignment of Research Data Management - Extended Edition

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).