Research data management in neuroscience

Availability and efficient management of research data is an important ingredient for reproducibility and scientific progress. In Computational Neuroscience, which links experimental neuroscience, theory and modeling, there is a particular need for reuse of research data. To facilitate sharing and reuse, research data should be handled according to established standards, and researchers need support to adopt best practices in research data management.

The Bernstein Network Computational Neuroscience has from its inception been fostering exchange of data and collaboration. As part of the Network, the German Neuroinformatics Node (G-Node) is providing tools and services supporting open science, collaboration, and training in data analysis, neuroinformatics, and research data management. It links the network to the international initiatives in the context of the International Neuroinformatics Coordinating Facility (INCF).