The Spectrum of Data sharing Policies in Neuroimaging Data Repositories

Abstract

Sharing data is a scientific imperative that accelerates scientific discoveries, reinforces open science inquiry, and allows for efficient use of public investment and research resources. Considering these benefits, data sharing has been widely promoted in diverse fields and neuroscience has been no exception to this movement. For all its promise, however, the sharing of human neuroimaging data raises critical ethical and legal issues, such as data privacy. Recently, the heightened risks to data privacy posed by the exponential development in artificial intelligence and machine learning techniques has made data sharing more challenging; the regulatory landscape around data sharing has also been evolving rapidly. Here we present an in-depth ethical and regulatory analysis that will examine how neuroimaging data are currently shared against the backdrop of the relevant regulations and policies and how advanced software tools and algorithms might undermine subjects’ privacy in neuroimaging data sharing. This analysis will inform researchers on responsible practice of neuroimaging data sharing and shed light on a regulatory framework to provide adequate protection of neuroimaging data while maximizing the benefits of data sharing.

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