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Ethical Standards I

Ethical Standards I

The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...

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Updated: May 5, 2026

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Published on: February 1, 2012

在神经成像中评估元数据隐私.

Emilie Kibsgaard¹, Anita Sue Jwa², Christopher J Markiewicz²

¹Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark.

Imaging neuroscience (Cambridge, Mass.)

|February 25, 2026

概括

研究数据共享增强了科学,但危及隐私. 一项研究发现神经成像数据通常受到很好的保护,人口统计学构成主要的隐私风险. 为了更安全的数据共享,建议采取缓解策略.

关键词:

这就是BIDS BIDS.数据隐私评估数据隐私评估分享数据的数据共享.这就是为什么 metaprivBIDS.神经成像是一种神经成像.

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Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

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Last Updated: May 5, 2026

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

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科学领域:

神经科学是一个神经科学.
数据科学数据科学数据科学
生物伦理学生物伦理学

背景情况:

分享研究数据对于科学进步至关重要.
然而,隐私风险,包括重新识别和潜在的伤害,是令人担忧的.
将数据可访问性与参与者隐私平衡是持续的伦理和法律挑战.

研究的目的:

评估公开可用的神经成像数据集中的隐私风险.
评估隐私指标在识别漏洞方面的有效性.
建议采取实际措施,提高共享研究数据的安全性.

主要方法:

从OpenNeuro上的异质神经成像研究中审查了元数据.
使用metaprivBIDS软件计算隐私指标 (k-匿名性,l-多样性等). ) 的情况.
对重新识别风险分析了人口统计和临床分数数据.

主要成果:

在数据集中,隐私通常保持良好,但很少出现严重的漏洞.
几乎所有数据集都显示了需要缓解的轻微问题.
人口统计学变量 (年龄,性别,种族,地点) 带来了比临床评分更高的重新识别风险.

结论:

开放的神经成像数据共享在很大程度上是安全的,但并非没有风险.
人口数据需要小心处理,以防止重新识别.
实施实际的缓解策略可以促进更安全的数据共享实践.