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National Research Data Infrastructure for Neuroscience

The idea behind it

Access to digital knowledge and management of research data from publicly funded science are seen as essential challenges for research and knowledge transfer in Germany. Over the past years, the Rat für Informationssinfrastrukturen (RfII) has initiated discussions on a national infrastructure for research data (Nationale Forschungsdaten-Infrastruktur, NFDI) and has recommended to establish such an infrastructure. The Gemeinsame Wissenschaftskonferenz (GWK) decided to fund the development of an NFDI with up to 90 million € per year for the next ten years (https://www.gwk-bonn.de/fileadmin/Redaktion/Dokumente/Papers/NFDI.pdf).

The NFDI is intended to serve all disciplines of the entire research landscape in Germany. Its purpose is to support scientists in efficiently managing their research data and to ensure that research data becomes interoperable and re-usable, in line with international standards and initiatives (e.g., the FAIR principles, the European Open Science Cloud EOSC). The NFDI aims to build on and connect existing resources according to a comprehensive concept for research data management that is sustainable and competitive in the international context.

 

Development

NFDI_LOGO_plainThe development of the NFDI will be organized along the different scientific fields, through consortia of data producers, data users and infrastructure providers that represent the respective scientific communities. The wide scope and interdisciplinary nature of neuroscientific research, together with the important role of neuroscience in Germany, calls for an NFDI consortium dedicated to neuroscience.

Heterogeneity, complexity and growing volumes of neuroscience data, paired with the demand to re-use valuable experimental data, make it increasingly important to provide infrastructural support for the data management tasks of neuroscientists. This may include very diverse aspects, for example, tools to facilitate the acquisition of experimental data and metadata, standards to improve interoperability of data from multiple sources, services to store and organize the provenance of data acquisition and processing workflows, or enhancing accessibility and interoperability of databases, repositories, and other resources. Some solutions have started to emerge but need to be integrated and further developed to achieve a coherent and efficient data management framework for neuroscientists. This process will have to consider all subdomains of neuroscience and all methodological approaches with their requirements on research data, addressing the specific needs of the researchers.

An initial working group has formed that aims to bring together scientists and institutions interested in contributing to an NFDI consortium for neuroscience.

For further information contact .

Contact persons are MIchael Denker (Forschungszentrum Jülich), Alexandra Stein (Bernstein Coordination Site) and Thomas Wachtler (German Neuroinformatics Node, Bernstein Facility for Data Technology)

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Further Reading

 

 

RDA Conference Germany 2019

RDA

Information

Discuss and exchange information at the Bernstein Network Booth on the Göttingen Meeting of the German Neuroscience Society, March 2019

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