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.
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).
In its response to the European Data Protection Board (EDPB) Science Europe welcomes the detailed guidance on identifying whether controllership is joint or separate within a given collaboration and identifying an appropriate legal form to establish an agreement. However further clarification through the EDPB Guidelines would be helpful for public research organisations.
In its response to the European Commission, Science Europe highlights that future EU legislation on AI needs to strike the right balance between safeguards for users and developers of AI systems, and a legal environment that fosters R&I.
In its response to the European Commission, Science Europe highlights that the foreseen scope of the new legislation is not clearly defined and greater clarification should be introduced to ensure that the Digital Services Act does not have unintended effects on research.
In its response to the European Commission Roadmap for an upcoming legislative proposal on the governance of common European data spaces, Science Europe reinforces the need to consider sectoral policies to ensure coherence.
Science Europe calls on the European Commission to take into account the important role of the research sector as producer and user of data. The longstanding experience of the research sector should feed into the development of an overarching EU data strategy that promotes data access across sectors.
In its response to the EC consultation on the European Strategy for Data, Science Europe also underlines the need to consider sectoral policies to ensure coherence between overarching and sectoral policies.
Implementing Research Data Management Policies Across Europe: Experiences from Science Europe Member Organisations
Does your organisation want to develop requirements for data management plans (DMPs) or update existing ones?
Take a look at our latest publication to find out how to do so in three steps.
In this joint statement research and Innovation stakeholders call on the EU institutions to seek a balanced approach to data sharing in response to the European Commission’s proposal for a revision of the Directive on re-use of public sector information (PSI Directive). While the partners are supportive of the European agenda to promote Open Science and innovation, and share a common commitment to the principle of making research data ‘as open as possible and as closed as necessary’, there is a need to focus on the optimal re-use of research data and not on the (unconditional) opening of such data.
Research organisations and funders increasingly ask researchers to create Data Management Plans for their work and proposals. A lack of standardisation means that these can be time-consuming to create and difficult to compare and evaluate. Science Europe presents a framework for the creation of domain-specific protocols that can be used as standardised templates, reducing the administrative burden on both researchers, research organisations, and funders.