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本文引用的文献

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Digital biomarkers for Alzheimer's disease: the mobile/ wearable devices opportunity.阿尔茨海默病的数字生物标志物:移动/可穿戴设备带来的机遇。
NPJ Digit Med. 2019;2. doi: 10.1038/s41746-019-0084-2. Epub 2019 Feb 21.
2
Editorial: Patient and public involvement in dementia research: Setting new standards.社论:患者及公众参与痴呆症研究:设定新标准
Dementia (London). 2018 Nov;17(8):939-943. doi: 10.1177/1471301218789290.
3
Consent recommendations for research and international data sharing involving persons with dementia.涉及痴呆症患者的研究和国际数据共享的同意书建议。
Alzheimers Dement. 2018 Oct;14(10):1334-1343. doi: 10.1016/j.jalz.2018.05.011. Epub 2018 Jul 2.
4
Big Data and Dementia: Charting the Route Ahead for Research, Ethics, and Policy.大数据与痴呆症:规划研究、伦理和政策的未来路径
Front Med (Lausanne). 2018 Feb 6;5:13. doi: 10.3389/fmed.2018.00013. eCollection 2018.
5
Google DeepMind and healthcare in an age of algorithms.算法时代的谷歌深度思维与医疗保健
Health Technol (Berl). 2017;7(4):351-367. doi: 10.1007/s12553-017-0179-1. Epub 2017 Mar 16.
6
When Patient Engagement and Research Ethics Collide: Lessons from a Dementia Forum.当患者参与和研究伦理发生冲突时:来自痴呆症论坛的教训
J Alzheimers Dis. 2017;59(1):1-10. doi: 10.3233/JAD-161285.
7
Broad Consent for Research With Biological Samples: Workshop Conclusions.生物样本研究的广泛同意:研讨会结论
Am J Bioeth. 2015;15(9):34-42. doi: 10.1080/15265161.2015.1062162.
8
Reflexive governance in biobanking: on the value of policy led approaches and the need to recognise the limits of law.生物库治理中的反思性治理:论政策主导方法的价值以及认识法律局限性的必要性。
Hum Genet. 2011 Sep;130(3):347-56. doi: 10.1007/s00439-011-1066-x. Epub 2011 Jul 16.
9
The Michigan BioTrust for Health: using dried bloodspots for research to benefit the community while respecting the individual.密歇根健康生物信托基金:利用干血斑进行研究,在尊重个人的同时造福社区。
J Law Med Ethics. 2011 Mar;39 Suppl 1:98-101. doi: 10.1111/j.1748-720X.2011.00577.x.
10
The charitable trust as a model for genomic biobanks.作为基因组生物样本库模式的慈善信托。
N Engl J Med. 2003 Sep 18;349(12):1180-4. doi: 10.1056/NEJMsb030036.

我们需要在数字时代思考痴呆症研究的数据治理问题。

We need to think about data governance for dementia research in a digital era.

机构信息

Society and Ethics Research Group, Wellcome Genome Campus, Hinxton, UK.

Institute of Public Health, University of Cambridge, Cambridge, UK.

出版信息

Alzheimers Res Ther. 2020 Jan 31;12(1):17. doi: 10.1186/s13195-020-0584-y.

DOI:10.1186/s13195-020-0584-y
PMID:32005135
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6995068/
Abstract

BACKGROUND

Research into Alzheimer's disease and other dementias increasingly involves large-scale data-sharing initiatives. The development of novel digital tools and assessments is likely to increase the need for these. This presents ethics and governance challenges to ensure the use of these data is able to maximise the benefit to patients and the public.

DISCUSSION

We consider the challenges associated with informed consent and governance in the context of dementia research. We set out the potential of novel data governance approaches for the future of data sharing for dementia. The data trust model proposed in discussions of data governance may have potentially valuable application for dementia research. Such inclusive approaches to trustworthy data governance should be considered as data-sharing initiatives are established and develop.

摘要

背景

阿尔茨海默病和其他痴呆症的研究越来越多地涉及大规模的数据共享计划。新型数字工具和评估的开发可能会增加对这些工具的需求。这给确保这些数据的使用能够使患者和公众最大程度受益带来了伦理和治理方面的挑战。

讨论

我们考虑了在痴呆症研究背景下与知情同意和治理相关的挑战。我们阐述了新型数据治理方法在痴呆症数据共享未来的潜力。在数据治理的讨论中提出的数据信托模型可能对痴呆症研究具有潜在的应用价值。在建立和发展数据共享计划时,应考虑这种将数据治理建立在信任基础上的包容性方法。