Open video data sharing in developmental science and clinical practice
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 approach...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-04-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S258900422300425X |
| _version_ | 1797866074629210112 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Peter B. Marschik |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T23:18:13Z |
| format | Article |
| id | doaj.art-1ac9f20db2774ece9d554ad0977ebf2b |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-04-09T23:18:13Z |
| publishDate | 2023-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-1ac9f20db2774ece9d554ad0977ebf2b2023-03-22T04:37:42ZengElsevieriScience2589-00422023-04-01264106348Open video data sharing in developmental science and clinical practicePeter B. Marschik0Tomas Kulvicius1Sarah Flügge2Claudius Widmann3Karin Nielsen-Saines4Martin Schulte-Rüther5Britta Hüning6Sven Bölte7Luise Poustka8Jeff Sigafoos9Florentin Wörgötter10Christa Einspieler11Dajie Zhang12Child 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 authorChild 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, GermanyDepartment for Computational Neuroscience, Third Institute of Physics-Biophysics, Georg-August-University of Göttingen, 37077 Göttingen, GermanyChild and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, GermanyDivision of Pediatric Infectious Diseases, David Geffen UCLA School of Medicine Los Angeles, CA 90095, USAChild and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany; Leibniz-ScienceCampus Primate Cognition, 37075 Göttingen, GermanyDepartment of Pediatrics I, Neonatology, University Children’s Hospital Essen, University Duisburg-Essen, 45147 Essen, GermanyCenter 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, WAChild and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany; Leibniz-ScienceCampus Primate Cognition, 37075 Göttingen, GermanySchool of Education, Victoria University of Wellington, 6012 Wellington, New ZealandLeibniz-ScienceCampus Primate Cognition, 37075 Göttingen, Germany; Department for Computational Neuroscience, Third Institute of Physics-Biophysics, Georg-August-University of Göttingen, 37077 Göttingen, GermanyiDN – interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, 8036 Graz, AustriaChild 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, GermanySummary: 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.http://www.sciencedirect.com/science/article/pii/S258900422300425XPediatricsDiagnosticsClinical neuroscience |
| spellingShingle | 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 Open video data sharing in developmental science and clinical practice iScience Pediatrics Diagnostics Clinical neuroscience |
| title | Open video data sharing in developmental science and clinical practice |
| title_full | Open video data sharing in developmental science and clinical practice |
| title_fullStr | Open video data sharing in developmental science and clinical practice |
| title_full_unstemmed | Open video data sharing in developmental science and clinical practice |
| title_short | Open video data sharing in developmental science and clinical practice |
| title_sort | open video data sharing in developmental science and clinical practice |
| topic | Pediatrics Diagnostics Clinical neuroscience |
| url | http://www.sciencedirect.com/science/article/pii/S258900422300425X |
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