Research data management

For researchers of all disciplines, sustainable research data management (RDM) is an integral part of the research process and one of the foundations of good scientific practice. It constitutes the professional and comprehensible organisation and handling of research data throughout their entire life cycle.

Applying RDM competently and sustainably

By carefully planning and implementing RDM, you not only support your own research process but also advance science as a whole:

• You preserve the value of your research data over the long term.
• You fulfil the conditions for effectively sharing and publishing your research data in the scientific community and beyond by sharing your data in compliance with the external page FAIR Principles (i.e., Findable, Accessible, Interoperable, Reusable).
• You boost the visibility of your scientific findings and ideally also increase the specific citation rate.

Securing funding through RDM

Funding agencies and donors such as the external page Swiss National Science Foundation (SNSF) or the European Union’s research framework programme external page Horizon Europe require data management plans (DMPs) to be drawn up for the projects they support. These are used to plan the research data life cycle at the beginning of a project and to outline the RDM roadmap and documentation during the entire duration of the project. 

For the new research framework external page Horizon Europe we provide a compilation of most important information on Open Access and Open Research Data here. You can also get summary information on these requirements within Horizon Europe in this factsheet of the Grants Office. 

Please be advised that in Horizon Europe, indications on Open Science practices are expected as part of the grant proposal and will be evaluated as well.

Research data management services

Please find detailed information on these topics on the following pages: