CHU de Rennes, King’s College London, University of California San Francisco, University of Antwerp, Ghent University, University of Oslo, Harvard Medical School, School services,SCI, Stanford University, Department of Neuroscience and Biomedical Engineering, Dartmouth College, McGill University, Eindhoven University of Technology, Heinrich Heine University Düsseldorf, Nanjing Normal University, Erasmus University Rotterdam, Centro de Investigacion Principe Felipe, Masaryk University, National and Kapodistrian University of Athens, Centre National de la Recherche Scientifique (CNRS), Institut Pasteur Paris, University of Amsterdam, Radboud University Nijmegen, Bogazici University, Columbia University, University of Edinburgh, University of Verona, University of Tuzla, University of California Berkeley, Nanyang Technological University, Fujian Medical University, Beihang University, Aalto-yliopisto, Aalto University
Having the means to share research data openly is essential to modern science. For human research, a key aspect in this endeavor is obtaining consent from participants, not just to take part in a study, which is a basic ethical principle, but also to share their data with the scientific community. To ensure that the participants' privacy is respected, national and/or supranational regulations and laws are in place. It is, however, not always clear to researchers what the implications of those are, nor how to comply with them. The Open Brain Consent (https://open-brain-consent.readthedocs.io) is an international initiative that aims to provide researchers in the brain imaging community with information about data sharing options and tools. We present here a short history of this project and its latest developments, and share pointers to consent forms, including a template consent form that is compliant with the EU general data protection regulation. We also share pointers to an associated data user agreement that is not only useful in the EU context, but also for any researchers dealing with personal (clinical) data elsewhere. Non
