Project
Infrastructure for Findable, Accessible, Interoperable, Reusable (FAIR) Data
The INF-N project will foster the collaboration between CRC1315 projects by building an open infrastructure for the management of data (storage, documentation, processing, sharing and publication) and a theoretically grounded computational framework. To address the challenges of sharing large amounts of heterogeneous datasets within the consortium, we will implement tools for data management and scientific communication, provide training to the researchers, support researchers in their data management plan production and implementation, curate data during the research process, and foster the publication of research outputs other than classical journal contributions (datasets, software, reagents, and hardware). We are participating in several international consortia that are building data management solutions (in particular inside the NFDI neuroscience, INCF, EBRAINS) and we plan to employ established solutions in this CRC and to coordinate new developments with these international communities. This will allow us to produce (and publish) findable, accessible, interoperable, and reusable (FAIR) data, and will promote a transparent and responsible research process.
Principal Investigators
Publications
Evolution and adoption of contributor role ontologies and taxonomies
Mohammad Hosseini, Julien Colomb, Alex O. Holcombe, Barbara Kern, Nicole A. Vasilevsky, Kristi L. Holmes
Learn Publ. (2022)
Dynamic primitives of brain network interaction
Michael Schirner, Xiaolu Kong, B.T. Thomas Yeo, Gustavo Deco, Petra Ritter
NeuroImage. 250:118928 (2022)
Overcoming the Reproducibility Crisis – Results of the first Community Survey of the German National Research Data Infrastructure for Neuroscience
Carsten M. Klingner, Michael Denker, Sonja Grün, Michael Hanke, Steffen Oeltze-Jafra, Frank W. Ohl, Janina Radny, Stefan Rotter, Hansjörg Scherberger, Alexandra Stein, Thomas Wachtler, Otto W. Witte, Petra Ritter
bioRxiv (2022)
Research data management in clinical neuroscience: the national research data infrastructure initiative
Carsten M. Klingner, Petra Ritter, Stefan Brodoehl, Christian Gaser, André Scherag, Daniel Güllmar, Felix Rosenow, Ulf Ziemann und Otto W. Witte
Neuroforum. 27(1):35-43 (2021)
NFDI-Neuro: Building a community for neuroscience research data management in Germany
Thomas Wachtler, Pavol Bauer, Michael Denker, Sonja Grün, Michael Hanke, Jan Klein, Steffen Oeltze-Jafra, Petra Ritter, Stefan Rotter, Hansjörg Scherberger, Alexandra Stein und Otto W. Witte
Neuroforum. 27(1):3-15 (2021)
Brain simulation as a cloud service: The Virtual Brain on EBRAINS
Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn,...., Agnes Flöel, ...Jochen Mersmann, Viktor Jirsa, Petra Ritter
NeuroImage. 251:118973 (2022)
Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean field model with The Virtual Brain
Jil M. Meier, Dionysios Perdikis, André Blickensdörfer, Leon Stefanovski, Qin Liu, Oliver Maith, Helge Ü. Dinkelbach, Javier Baladron, Fred H. Hamker, Petra Ritter
Exp Neurol. 354:114111 (2022)
The importance of standards for sharing of computational models and data
Russell A. Poldrack, Franklin Feingold, Michael J. Frank, Padraig Gleeson, Gilles de Hollander, Quentin JM Huys, Bradley C. Love, Christopher J. Markiewicz, Rosalyn Moran, Petra Ritter, Timothy T. Rogers, Brandon M. Turner, Tal Yarkoni, Ming Zhan, Jonathan D. Cohen
Comput Brain & Behav. 2(3-4):229-232 (2019)