Background

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

The 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.

The NFDI Neuroscience consortium works to build a community to develop the conceptual and practical basis of a research data management infrastructure for the neurosciences. The consortium is supported by the Neurowissenschaftliche Gesellschaft (NWG) and the Bernstein Network for Computational Neuroscience.

NWG Bernstein Network for Computational Neuroscience

Activities

In order to reach out to the community the NFDI Neuroscience consortium offers and actively participates in various activities.

Training

A central concern is to educate the next generation of researchers early on, in order to raise awareness for the importance of RDM and equip them with the respective skills. NFDI Neuroscience is committed to supporting the incorporation of RDM education in local study programs. It also offers additional courses for RTGs or IRTGs upon request.

Upcoming Courses

 

  • Nov. 4-6, 2019: First Elephant User Workshop: Accelerate Structured and Reproducible Data Analysis in Electrophysiology

    Paris, France

    In this workshop of the Human Brain Project, co-organized by members of NFDI Neuroscience, users will be trained in the use of community-driven tools developed in the context of the Human Brain Project to analyze electrophysiological data, such as spike train data or LFP time series, including topics such as uniform data and metadata representations. In addition, participants receive help in integrating their own data into such analysis workflows. For more information and registration, click here.

     

  • April 14-30, 2020: ANDA 2020 - 4th G-Node Advanced Neural Data Analysis Course

    Jülich, Germany

    This course, co-organized by members of NFDI Neuroscience, is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data. For more information and registration, click here.

Past Courses

 

  • Sept. 17, 2019: SMARTStart Training Workshop "Research Data Management"

We strive to have a comprehensive collection of courses offered on this website. Please share any courses you know of, that we can list them here. We highly appreciate your input.

Networking Events

The NFDI Neuroscience consortium is building a research data management infrastructure network for the neurosciences. This requires integrating neuroscientists, research institutions and service providers at the national level, across disciplines within the NFDI network, and to international networks and infrastructures.

Past Events

  • Sept. 20, 2019: First NFDI Neuroscience Community Workshop, co-located with the Bernstein Conference, Berlin
  • Sept. 18-19, 2019: NFDI Neuroscience Booth at the Bernstein Conference
  • May 13-14, 2019: NFDI Neuroscience presents plans and concepts at the NFDI Conference, Bonn (https://www.dfg.de/foerderung/programme/nfdi/konferenz/index.html).
  • March 19-22, 2019: NFDI Neuroscience Consortium Workshop and Representation at the 13th Meeting of the German Neuroscience Socienty (NWG)
  • Feb. 19, 2019: NFDI Neuroscience presents conceptual ideas at the RDA Deutschland Tagung 2019 (https://www.rda-deutschland.de/events/tagung-2019
  • Sept. 27, 2018: Kick-off Meeting NFDI Neuroscience at the Bernstein Conference, Berlin

Participation

Neuroscientists require practical solutions in the form of robust methods, tools, and services, that enable collecting and efficiently managing data and metadata during the everyday data workflows in the laboratory. Therefore the goal is to build a community-centered process where scientists benefit from and contribute to improving the research data management infrastructure. NFDI Neuroscience aims to help researchers addressing their needs with existing solutions and to trigger and coordinate the development of new solutions where necessary. Community involvement on different levels will be essential for this process - from the contributions of individual researchers to the representation of large collaborative research projects and institutions.

Please see our Invitation for Contributions for how to get involved. We highly appreciate your participation.

 

 


NFDI Neuroscience supports neuroscientists in efficiently managing their research data and ensure that research data becomes interoperable and re-usable, in line with international standards and initiatives.
Sharing Data // Connecting Research // Pooling Brains