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This joint briefing paper with Knowledge Exchange informs the discussion on the funding of Research Data Management (RDM) and related infrastructures in Europe, helps raise awareness of the current challenges, and communicates opportunities for co-ordinated action to relevant stakeholders. The paper highlights that the funding of Research Data Infrastructures, enabling RDM, comes from a great variety of sources and institutions that have different responsibilities and that operate at local, national, and international levels.

The demand for Research Infrastructures is high throughout all fields of science. However, the available funds for capital investment and running costs are generally limited and do not nearly meet the demand. Effective allocation of available funds and effective operation of facilities is therefore important in order to serve the scientific community in the best possible way.

In recent years scientific research has changed markedly. High throughput technologies have resulted in the generation and accumulation of unprecedented quantities of data, which can be collected, analysed and interpreted through advances in computational science. This, in turn, has led to rapid progress in the development of computational models that can represent natural phenomena across the range of scales, from the level of atoms and molecules to the structure and evolution of galaxies. Such models allow researchers to test and develop new ideas; they can provide new insights into the behaviour of systems under different conditions that would be difficult to test directly through experiment, and they can be used to predict how a system will react to changing circumstances. With computer modelling becoming an increasingly important tool for researchers, the Science Europe Scientific Committee for Life, Environmental and Geo Sciences organised a workshop to explore how different scientific disciplines use computational modelling and simulations of complex structures in space and time.

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.