Are there researchers who voluntarily share their complete, raw data sets online before even having evaluated the data themselves? Until some time ago, this was unthinkable. Even today, many scientists shy away from permissive data sharing before their results are published—helping strengthen their professional reputation. Magdeburg psychologist Professor Michael Hanke from the Otto von Guericke University Magdeburg has now embarked on a different route altogether with Dr. Jörg Stadler from the Leibniz Institute for Neurobiology and colleagues. They will publish the most comprehensive set of raw brain imaging data on natural language processing in the inaugural issue of the new open-access journal Scientific Data of the Nature Publishing Group. It is already freely available for analyses from the website http://www.studyforrest.org.
This open science approach has the advantage of accelerating progress in science. Competing research labs can simultaneously work on a subject without obstructing other scientists’ research plans through delaying the publication of data sets. Also, when scientists are asked to share data, they do not need to laboriously reconstruct past data collections—some inquirires are made years after the first publication—since the raw data have already been prepared for sharing. This saves time and cost, which can be used to further scientific developments.
The published Magdeburg data set focuses on the processing of acoustic stimuli. In the study, participants listened to an audio movie of the classic feature film Forrest Gump. Meanwhile, their brain activity was measured using functional magnetic resonance imaging (fMRI) as it processed language, music, emotions, memories, and visual imagery. Thus, the recordings do not isolate a single aspect of brain function, but instead reflect the real complexity of information flow in everyday listening experiences. In addition to the fMRI data, the scientists provide comprehensive anatomical descriptions of the participants' brains, as well as measurements on breathing and heartbeat. These help indicate the portions of the film when the listener was more excited or relaxed. With these data, it is possible to study emotion processing during listening experiences—or analyze completely different research questions.
The German-US-American Collaboration “Development of general high-dimenstional models of neuronal representation space” is an international research project in which scientists at Otto von Guericke University Magdeburg, Dartmouth College (USA), and Princeton University (USA) are involved. It is part of the National Bernstein Network Computational Neuroscience in Germany.
Contact:
Jun.-Prof. Dr. Michael Hanke
Otto von Guericke University
Institute of Psychology II
39106 Magdeburg
Tel.: +49 (0)391 67-18481
Email: michael.hanke(at)ovgu.de
Further Information:
http://www.psychoinformatics.de Michael Hanke’s „Psychoinformatics“ Lab
http://www.cbbs.eu Center for Behavioral Brain Sciences, Magdeburg
http://www.nncn.de National Bernstein Network Computational Neuroscience
Original publication: M. Hanke, F. J. Baumgartner, P. Ibe, F. R. Kaule, S. Pollmann, O. Speck, W. Zinke & J. Stadler (2014): A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie. Scientific Data, 1: 140003. DOI: 10.1038/sdata.2014.3
