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Updated: Aug 6, 2026

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
Published on: June 3, 2020
Accelerating Research on Brain Aging: Enabling Brain Imaging Data Sharing in the Open Science Landscape
Kathrin Giehl1,2, Thilo van Eimeren1,3
1University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Nuclear Medicine, Cologne, Germany.
Abstract:
The global burden of age-associated diseases continues to grow. In particular, the accelerating impact of neurodegenerative diseases on individuals, communities and societies necessitates more effective approaches to diagnosis, prognosis and treatment of such disorders. Hence, the establishment of imaging biomarkers for early detection of disease, progression monitoring, and therapeutic evaluation is of utmost importance. Yet, despite the scientific consensus on the benefits of scientific collaboration and consequently medical innovation including biomarker development, substantial barriers for sharing neuroimaging data remain, demanding a transformation in how scientific data are generated, made accessible, re-used and valued. These barriers range from technical and infrastructural limitations to legal and motivational challenges that hinder widespread adoption of open science practices. Here, we present a comprehensive overview of the current landscape of brain imaging data sharing in neurodegenerative disease research. We explore the status of preregistration, data harmonization and storage standardization, legal compliance, and researcher incentives. We highlight best practices before, during and after data generation and the pressing need for a coordinated strategy regarding simplified and unified legal frameworks compliant with the General Data Protection Regulation of the European Union. Finally, we advocate for the establishment of an academic credit system designed to reward data stewardship. Only with a combined effort from researchers, stakeholders and funding agencies including a sustained infrastructure investment and community education, the field can fully overcome inertia and move towards much-desired open science, thereby fully leveraging shared data to improve patient outcomes and scientific discovery.

