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Dataset

NFDI-Neuro Survey Data

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  1. 1Hans Berger Department of Neurology, Jena University Hospital, Germany; Biomagnetic Center, Jena University Hospital, Germany
  2. 2Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany
  3. 3Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany; Theoretical Systems Neurobiology, RWTH Aachen University, Aachen, Germany
  4. 4Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Center Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
  5. 5Department of Neurology, Otto von Guericke University Magdeburg, Germany; Peter L. Reichertz Institute for Medical Informatics, Hannover Medical School, Germany
  6. 6Leibniz Institute for Neurobiology (LIN), Magdeburg Germany; Center for Behavioral Brain Science (CBBS), Magdeburg Germany
  7. 7Bernstein Coordination Site, INM-6 - Forschungszentrum Jülich, Germany; University of Freiburg, Germany
  8. 8Bernstein Center Freiburg & Faculty of Biology, University of Freiburg, Germany
  9. 9Deutsches Primatenzentrum GmbH – Leibniz-Institut für Primatenforschung, Göttingen; Faculty of Biology and Psychology, University of Goettingen, Germany
  10. 10Bernstein Coordination Site, INM-6 - Forschungszentrum Jülich, Germany
  11. 11Faculty of Biology, Ludwig-Maximilians-Universität München
  12. 12Hans Berger Department of Neurology, Jena University Hospital, Germany
  13. 13Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany; Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany; Einstein Center for Neuroscience Berlin, Berlin, Germany; Einstein Center Digital Future, Berlin, Germany

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Published 06 Apr. 2022 | License Creative Commons Attribution 4.0 International

Description

Data underlying Klingner et al (2022) Research data management and data sharing for reproducible research - Results of the first community survey of the German National Research Data Infrastructure for Neuroscience. eNeuro 10(2) https://doi.org/10.1523/ENEURO.0215-22.2023.
The lack of reproducibility of research results is a serious problem – known as "the reproducibility crisis". The German National Research Data Infrastructure (NFDI) initiative implemented by the German Research Foundation (DFG) aims to help overcoming this crisis by developing sustainable solutions for research data management (RDM). NFDI comprises domain specific consortia across all science disciplines. In the field of neuroscience, NFDI Neuroscience (NFDI-Neuro) contributes to the strengthening of systematic and standardized RDM in its research communities. NFDI-Neuro conducted a comprehensive survey amongst the neuroscience community to determine the current needs, challenges, and opinions with respect to RDM. The outcomes of this survey are presented here. The German neuroscience community perceives barriers with respect to RDM and data sharing mainly linked to (1) lack of data and metadata standards, (2) lack of community adopted provenance tracking methods, 3) lack of a privacy preserving research infrastructure for sensitive data (4) lack of RDM literacy and (5) lack of required time and resources for proper RDM. NFDI-Neuro aims to systematically address these barriers by leading and contributing to the development of standards, tools, and infrastructure and by providing training, education and support, as well as additional resources to its research community. The RDM work of NFDI-Neuro is conducted in close collaboration with its partner EBRAINS AISBL, the coordinating entity of the EU Flagship Human Brain Project, and its Research Infrastructure (RI) EBRAINS with more than 4500 registered users and developers from more than 30 countries. While NFDI-Neuro aims to address the national needs, it closely aligns with the international community and the topics of the Digital Europe Program and EU Data Spaces.

Keywords

| Neuroscience | research data infrastructure | data sharing | metadata | provenance | linkage | lineage | repositories | research data management | survey | community |

References

  • Klingner C, Denker M, Grün S, Hanke M, Oeltze-Jafra S, Ohl FW, Radny J, Rotter S, Scherberger H, Stein A, Wachtler T, Witte OW, Ritter P (2023) Research data management and data sharing for reproducible research - Results of the first community survey of the German National Research Data Infrastructure for Neuroscience. eNeuro 10(2) ENEURO.0215-22.2023.

Funding

  • EU H2020 Research and Innovation Action grants Human Brain Project SGA2 785907, SGA3 945539, VirtualBrainCloud 82642
  • EU European Innovation Council grant PHRASE 101058240 and ERC 683049
  • Berlin Institute of Health & Foundation Charité
  • Johanna Quandt Excellence Initiative
  • DFG SFB 1451 (project ID 431549029); SFB 1436 (project ID 425899996); SFB 1315 (project ID 327654276); SFB 936 (project ID 178316478); SFB-TRR 295 (project ID 424778381); SPP Computational Connectomics RI 2073/6-1, RI 2073/10-2, RI 2073/9-1; GRK 2150 (project 269953372)
  • BMBF 01GQ1905
  • Helmholtz Metadata Collaboration (HMC)
  • Federal State of Saxony-Anhalt FKZ: I 88

Citation

Klingner C, Denker M, Grün S, Hanke M, Oeltze-Jafra S, Ohl FW, Radny J, Rotter S, Scherberger H, Stein A, Wachtler T, Witte OW, Ritter P (2022) NFDI-Neuro Survey Data. G-Node. https://doi.org/10.12751/g-node.w5h68v