Universität zu Köln

Giehl, Kathrin ORCID: 0000-0002-0092-5164, Mutsaerts, Henk-Jan, Aarts, Kristien, Barkhof, Frederik, Caspers, Svenja ORCID: 0000-0001-5083-4669, Chetelat, Gaël, Colin, Marie-Elisabeth, Düzel, Emrah, Frisoni, Giovanni B., Ikram, M Arfan, Jovicich, Jorge, Morbelli, Silvia, Oertel, Wolfgang, Paret, Christian, Perani, Daniela, Ritter, Petra, Segura, Bàrbara, Wisse, Laura E. M., De Witte, Elke, Cappa, Stefano F. and van Eimeren, Thilo ORCID: 0000-0002-6951-2325 (2024). Sharing brain imaging data in the Open Science era: how and why? The Lancet Digital Health, 6 (7). e526-e535. Elsevier. ISSN 2589-7500

PDF PIIS2589750024000694.pdf Bereitstellung unter der CC-Lizenz: Creative Commons Attribution. Download (563kB)

Abstract

The sharing of human neuroimaging data has great potential to accelerate the development of imaging biomarkers in neurological and psychiatric disorders; however, major obstacles remain in terms of how and why to share data in the Open Science context. In this Health Policy by the European Cluster for Imaging Biomarkers, we outline the current main opportunities and challenges based on the results of an online survey disseminated among senior scientists in the field. Although the scientific community fully recognises the importance of data sharing, technical, legal, and motivational aspects often prevent active adoption. Therefore, we provide practical advice on how to overcome the technical barriers. We also call for a harmonised application of the General Data Protection Regulation across EU countries. Finally, we suggest the development of a system that makes data count by recognising the generation and sharing of data as a highly valuable contribution to the community.

Item Type:	Article
Creators:	Creators Email ORCID ORCID Put Code Giehl, Kathrin UNSPECIFIED https://orcid.org/0000-0002-0092-5164 UNSPECIFIED Mutsaerts, Henk-Jan UNSPECIFIED UNSPECIFIED UNSPECIFIED Aarts, Kristien UNSPECIFIED UNSPECIFIED UNSPECIFIED Barkhof, Frederik UNSPECIFIED UNSPECIFIED UNSPECIFIED Caspers, Svenja UNSPECIFIED https://orcid.org/0000-0001-5083-4669 UNSPECIFIED Chetelat, Gaël UNSPECIFIED UNSPECIFIED UNSPECIFIED Colin, Marie-Elisabeth UNSPECIFIED UNSPECIFIED UNSPECIFIED Düzel, Emrah UNSPECIFIED UNSPECIFIED UNSPECIFIED Frisoni, Giovanni B. UNSPECIFIED UNSPECIFIED UNSPECIFIED Ikram, M Arfan UNSPECIFIED UNSPECIFIED UNSPECIFIED Jovicich, Jorge UNSPECIFIED UNSPECIFIED UNSPECIFIED Morbelli, Silvia UNSPECIFIED UNSPECIFIED UNSPECIFIED Oertel, Wolfgang UNSPECIFIED UNSPECIFIED UNSPECIFIED Paret, Christian UNSPECIFIED UNSPECIFIED UNSPECIFIED Perani, Daniela UNSPECIFIED UNSPECIFIED UNSPECIFIED Ritter, Petra UNSPECIFIED UNSPECIFIED UNSPECIFIED Segura, Bàrbara UNSPECIFIED UNSPECIFIED UNSPECIFIED Wisse, Laura E. M. UNSPECIFIED UNSPECIFIED UNSPECIFIED De Witte, Elke UNSPECIFIED UNSPECIFIED UNSPECIFIED Cappa, Stefano F. UNSPECIFIED UNSPECIFIED UNSPECIFIED van Eimeren, Thilo UNSPECIFIED https://orcid.org/0000-0002-6951-2325 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-814193
Identification Number:	10.1016/S2589-7500(24)00069-4
Journal or Publication Title:	The Lancet Digital Health
Volume:	6
Number:	7
Page Range:	e526-e535
Number of Pages:	10
Date:	July 2024
Publisher:	Elsevier
ISSN:	2589-7500
Language:	English
Faculty:	External institution Faculty of Medicine
Divisions:	Außeruniversitäre Forschungseinrichtungen > Forschungszentrum Jülich Faculty of Medicine > Neurologie Faculty of Medicine > Nuklearmedizin > Klinik und Poliklinik für Nuklearmedizin
Subjects:	Medical sciences Medicine
['eprint_fieldname_oa_funders' not defined]:	Publikationsfonds UzK
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/81419