EU-LIFE recommendations on Research Data Management in the life sciences

Research Data Management (RDM) – including FAIR and Open Data – is an essential part of good scientific practice. It includes the whole process of handling research data, from its generation and entry into the research cycle to the dissemination, sharing, archiving, and destruction.

In order to get a better understanding of what the EU-LIFE research institutions are implementing and developing in the field of RDM, the alliance set up a dedicated task force in 2020 and ran a survey within its member institutes. Based on these insights, the task force organized a series of internal workshops focused specifically on institutional RDM policies, RDM training and the role of core facilities in RDM to share best practices and progress in design and implementation.

EU-LIFE is now issuing a hands-on guide summarizing the key findings from the workshops and, building on them, it brings forward recommendations to implement RDM at institutional level. Since the organization and infrastructure is unique at each institute, there is not a single RDM model but a multitude of options from which institutes can choose. The goal of this exercise is to provide inspiration for good RDM practice.

Find the guide here.