The spectrum of data sharing policies in neuroimaging data repositories.
The spectrum of data sharing policies in neuroimaging data repositories.
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DOI：
10.1002/hbm.25803
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发表时间：
2022-06-01
影响因子：
4.8
通讯作者：
Poldrack, Russell A.
中科院分区：
文献类型：
--
作者：
Jwa, Anita S.;Poldrack, Russell A.
共享数据是加速科学发现、加强开放科学探究和有效利用公共投资和研究资源的科学必要条件。考虑到这些好处，数据共享在不同领域得到了广泛推广，神经科学也不例外。然而，尽管前景光明，人类神经成像数据的共享引发了关键的伦理和法律问题，比如数据隐私。最近，人工智能和机器学习技术的快速发展带来的数据隐私风险加剧，使数据共享更具挑战性；数据共享的监管环境也在迅速发展。在这里，我们提出了一项深入的伦理和监管分析，研究了在美国相关法规和政策的背景下，神经成像数据目前是如何共享的，以及先进的软件工具和算法如何在神经成像数据共享中破坏受试者的隐私。这些新技术对神经成像数据共享实践和政策的隐私威胁的影响也将被讨论。最后，我们提出了一项法律禁止恶意使用神经科学数据的建议，作为一种监管机制，以解决与数据相关的隐私风险，同时最大限度地发挥神经科学领域数据共享和开放科学实践的好处。共享数据是加速科学发现、加强开放科学探究和有效利用公共投资和研究资源的科学必要条件。但是，尽管有这样的希望，人类神经成像数据的共享引发了关键的伦理和法律问题，比如数据隐私。在这里，我们提出了一项深入的伦理和监管分析，将研究在美国相关法规和政策的背景下，神经成像数据目前是如何共享的，以及软件工具和算法的最新进展如何在神经成像数据共享中破坏受试者的隐私。
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 rapid advances in artificial intelligence and machine learning techniques have 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 examines how neuroimaging data are currently shared against the backdrop of the relevant regulations and policies in the United States and how advanced software tools and algorithms might undermine subjects' privacy in neuroimaging data sharing. The implications of these novel technological threats to privacy in neuroimaging data sharing practices and policies will also be discussed. We then conclude with a proposal for a legal prohibition against malicious use of neuroscience data as a regulatory mechanism to address privacy risks associated with the data while maximizing the benefits of data sharing and open science practice in the field of neuroscience. 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. But for all its promise, the sharing of human neuroimaging data raises critical ethical and legal issues, such as data privacy. 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 in the United States and how recent advances in software tools and algorithms might undermine subjects' privacy in neuroimaging data sharing.
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影响因子：
--
作者：
Ming J;Verner E;Sarwate A;Kelly R;Reed C;Kahleck T;Silva R;Panta S;Turner J;Plis S;Calhoun V
通讯作者：
Calhoun V
影响因子：
3.2
作者：
Marcus DS;Fotenos AF;Csernansky JG;Morris JC;Buckner RL
通讯作者：
Buckner RL
影响因子：
5.7
作者：
Finn ES;Scheinost D;Finn DM;Shen X;Papademetris X;Constable RT
通讯作者：
Constable RT
探索人类大脑功能的科学
DOI：
10.1073/pnas.0911855107
发表时间：
2010-03-09
影响因子：
11.1
作者：
Biswal, Bharat B.;Mennes, Maarten;Milham, Michael P.
通讯作者：
Milham, Michael P.
影响因子：
9.8
作者：
Gorgolewski KJ;Auer T;Calhoun VD;Craddock RC;Das S;Duff EP;Flandin G;Ghosh SS;Glatard T;Halchenko YO;Handwerker DA;Hanke M;Keator D;Li X;Michael Z;Maumet C;Nichols BN;Nichols TE;Pellman J;Poline JB;Rokem A;Schaefer G;Sochat V;Triplett W;Turner JA;Varoquaux G;Poldrack RA
通讯作者：
Poldrack RA