A unified platform to manage, share, and archive morphological and functional data in insect neuroscience

Author:

Heinze Stanley12ORCID,el Jundi Basil3ORCID,Berg Bente G4ORCID,Homberg Uwe5ORCID,Menzel Randolf6ORCID,Pfeiffer Keram3ORCID,Hensgen Ronja5ORCID,Zittrell Frederick5ORCID,Dacke Marie1ORCID,Warrant Eric7ORCID,Pfuhl Gerit48ORCID,Rybak Jürgen9ORCID,Tedore Kevin1ORCID

Affiliation:

1. Department of Biology, Lund University, Lund, Sweden

2. NanoLund, Lund University, Lund, Sweden

3. Biocenter, Behavioral Physiology and Sociobiology, University of Würzburg, Würzburg, Germany

4. Department of Psychology, Chemosensory lab, Norwegian University of Science and Technology, Trondheim, Norway

5. Fachbereich Biologie, Tierphysiologie, and Center for Mind Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany

6. Institut für Biologie - Neurobiologie, Free University, Berlin, Germany

7. Research School of Biology, Australian National University, Canberra, Australia

8. Department of Psychology, UiT The Arctic University of Norway, Tromso, Norway

9. Department of Evolutionary Neuroethology, Max Planck Institute for Chemical Ecology, Jena, Germany

Abstract

Insect neuroscience generates vast amounts of highly diverse data, of which only a small fraction are findable, accessible and reusable. To promote an open data culture, we have therefore developed the InsectBrainDatabase (IBdb), a free online platform for insect neuroanatomical and functional data. The IBdb facilitates biological insight by enabling effective cross-species comparisons, by linking neural structure with function, and by serving as general information hub for insect neuroscience. The IBdb allows users to not only effectively locate and visualize data, but to make them widely available for easy, automated reuse via an application programming interface. A unique private mode of the database expands the IBdb functionality beyond public data deposition, additionally providing the means for managing, visualizing, and sharing of unpublished data. This dual function creates an incentive for data contribution early in data management workflows and eliminates the additional effort normally associated with publicly depositing research data.

Funder

H2020 European Research Council

Air Force Office of Scientific Research

Deutsche Forschungsgemeinschaft

Julius-Maximilians-Universität Würzburg

Norwegian Research Council

Freie Universität Berlin

Swedish Research Council

Zukunftskolleg University of Konstanz

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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