Open video data sharing in developmental science and clinical practice
Peter B. Marschik,
Tomas Kulvicius,
Sarah Flügge,
Claudius Widmann,
Karin Nielsen-Saines,
Martin Schulte-Rüther,
Britta Hüning,
Sven Bölte,
Luise Poustka,
Jeff Sigafoos,
Florentin Wörgötter,
Christa Einspieler,
Dajie Zhang
Affiliations
Peter B. Marschik
Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany; Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women’s and Children’s Health, Karolinska Institutet, 11330 Stockholm, Sweden; iDN – interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, 8036 Graz, Austria; Leibniz-ScienceCampus Primate Cognition, 37075 Göttingen, Germany; Corresponding author
Tomas Kulvicius
Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany; Department for Computational Neuroscience, Third Institute of Physics-Biophysics, Georg-August-University of Göttingen, 37077 Göttingen, Germany
Sarah Flügge
Department for Computational Neuroscience, Third Institute of Physics-Biophysics, Georg-August-University of Göttingen, 37077 Göttingen, Germany
Claudius Widmann
Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
Karin Nielsen-Saines
Division of Pediatric Infectious Diseases, David Geffen UCLA School of Medicine Los Angeles, CA 90095, USA
Martin Schulte-Rüther
Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany; Leibniz-ScienceCampus Primate Cognition, 37075 Göttingen, Germany
Britta Hüning
Department of Pediatrics I, Neonatology, University Children’s Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
Sven Bölte
Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women’s and Children’s Health, Karolinska Institutet, 11330 Stockholm, Sweden; Child and Adolescent Psychiatry, Stockholm Health Care Services, Region Stockholm, 11861 Stockholm, Sweden; Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, 6102 Perth, WA
Luise Poustka
Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany; Leibniz-ScienceCampus Primate Cognition, 37075 Göttingen, Germany
Jeff Sigafoos
School of Education, Victoria University of Wellington, 6012 Wellington, New Zealand
Florentin Wörgötter
Leibniz-ScienceCampus Primate Cognition, 37075 Göttingen, Germany; Department for Computational Neuroscience, Third Institute of Physics-Biophysics, Georg-August-University of Göttingen, 37077 Göttingen, Germany
Christa Einspieler
iDN – interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, 8036 Graz, Austria
Dajie Zhang
Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany; iDN – interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, 8036 Graz, Austria; Leibniz-ScienceCampus Primate Cognition, 37075 Göttingen, Germany
Summary: In behavioral research and clinical practice video data has rarely been shared or pooled across sites due to ethical concerns of confidentiality, although the need of shared large-scaled datasets remains increasing. This demand is even more imperative when data-heavy computer-based approaches are involved. To share data while abiding by privacy protection rules, a critical question arises whether efforts at data de-identification reduce data utility? We addressed this question by showcasing an established and video-based diagnostic tool for detecting neurological deficits. We demonstrated for the first time that, for analyzing infant neuromotor functions, pseudonymization by face-blurring video recordings is a viable approach. The redaction did not affect classification accuracy for either human assessors or artificial intelligence methods, suggesting an adequate and easy-to-apply solution for sharing behavioral video data. Our work shall encourage more innovative solutions to share and merge stand-alone video datasets into large data pools to advance science and public health.
