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数据共享伦理工具包:人类细胞图谱。

Data sharing ethics toolkit: The Human Cell Atlas.

机构信息

Centre of Genomics and Policy, School of Biomedical Sciences, Faculty of Medicine and Health Sciences, McGill University, 740 Dr. Penfield, Suite 5200, Montreal, QC, Canada.

Bioinformatics and Genomics, Center for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology (BIST), Dr. Aiguader 88, Barcelona, Catalonia, Spain.

出版信息

Nat Commun. 2024 Nov 20;15(1):9901. doi: 10.1038/s41467-024-54300-3.

DOI:10.1038/s41467-024-54300-3
PMID:39567529
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11579383/
Abstract

Striving to build an exhaustive guidebook of the types and properties of human cells, the Human Cell Atlas' (HCA) success relies on the sampling of diverse populations, developmental stages, and tissue types. Its open science philosophy preconizes the rapid, seamless sharing of data - as openly as possible. In light of the scope and ambition of such an international initiative, the HCA Ethics Working Group (EWG) has been working to build a solid foundation to address the complexities of data collection and sharing as part of Atlas development. Indeed, a particular challenge of the HCA is the diversity of sampling scenarios (e.g., living participants, deceased donors, pediatric populations, culturally diverse backgrounds, tissues from various developmental stages, etc.), and associated ethical and legal norms, which vary across countries contributing to the effort. Hence, to the extent possible, the EWG set out to provide harmonised, international and interoperable policies and tools, to guide its research community. This paper provides a high-level overview of the types of challenges and approaches proposed by the EWG.

摘要

努力构建一个详尽的人类细胞类型和特性指南,人类细胞图谱(HCA)的成功依赖于对不同人群、发育阶段和组织类型的采样。其开放科学理念提倡快速、无缝地共享数据——尽可能开放。鉴于这样一个国际倡议的范围和雄心,HCA 伦理工作组(EWG)一直在努力为解决数据收集和共享的复杂性奠定坚实的基础,这是 Atlas 开发的一部分。事实上,HCA 的一个特别挑战是采样场景的多样性(例如,活体参与者、已故供体、儿科人群、文化背景多样化、来自不同发育阶段的组织等),以及与采样相关的道德和法律规范因参与国而异。因此,EWG 尽可能地制定了协调的、国际的和可互操作的政策和工具,以指导其研究社区。本文提供了 EWG 提出的挑战类型和方法的概述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/11579383/bd48a80a94e6/41467_2024_54300_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/11579383/bd48a80a94e6/41467_2024_54300_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/11579383/bd48a80a94e6/41467_2024_54300_Fig1_HTML.jpg

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本文引用的文献

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Reconciling the biomedical data commons and the GDPR: three lessons from the EUCAN ELSI collaboratory.协调生物医学数据共享与 GDPR:欧盟 CAN ELSI 协作研究中心的三点经验。
Eur J Hum Genet. 2024 Jan;32(1):69-76. doi: 10.1038/s41431-023-01403-y. Epub 2023 Jun 15.
2
Open Data in the Era of the GDPR: Lessons from the Human Cell Atlas.《GDPR 时代的开放数据:人类细胞图谱的经验教训》。
Annu Rev Genomics Hum Genet. 2023 Aug 25;24:369-391. doi: 10.1146/annurev-genom-101322-113255. Epub 2023 Feb 15.
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Extending the CARE Principles from tribal research policies to benefit sharing in genomic research.
将《CARE原则》从部落研究政策扩展至基因组研究中的利益分享。
Front Genet. 2022 Nov 11;13:1052620. doi: 10.3389/fgene.2022.1052620. eCollection 2022.
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How to ensure the Human Cell Atlas benefits humanity.如何确保人类细胞图谱造福人类。
Nature. 2022 May;605(7908):30. doi: 10.1038/d41586-022-01186-0.
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The Human Pangenome Project: a global resource to map genomic diversity.人类泛基因组计划:绘制基因组多样性图谱的全球资源。
Nature. 2022 Apr;604(7906):437-446. doi: 10.1038/s41586-022-04601-8. Epub 2022 Apr 20.
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GA4GH: International policies and standards for data sharing across genomic research and healthcare.全球基因组与健康联盟(GA4GH):跨基因组研究与医疗保健领域数据共享的国际政策与标准。
Cell Genom. 2021 Nov 10;1(2). doi: 10.1016/j.xgen.2021.100029.
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Empowering Equitable Data Use Partnerships and Indigenous Data Sovereignties Amid Pandemic Genomics.在大流行病基因组学中赋予公平的数据使用伙伴关系和原住民数据主权。
Front Public Health. 2021 Nov 11;9:742467. doi: 10.3389/fpubh.2021.742467. eCollection 2021.
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A roadmap for the Human Developmental Cell Atlas.人类发育细胞图谱绘制路线图。
Nature. 2021 Sep;597(7875):196-205. doi: 10.1038/s41586-021-03620-1. Epub 2021 Sep 8.
9
Ethics review of big data research: What should stay and what should be reformed?大数据研究的伦理审查:哪些应保留,哪些应改革?
BMC Med Ethics. 2021 Apr 30;22(1):51. doi: 10.1186/s12910-021-00616-4.
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Operationalizing the CARE and FAIR Principles for Indigenous data futures.为原住民数据的未来实施 CARE 和 FAIR 原则。
Sci Data. 2021 Apr 16;8(1):108. doi: 10.1038/s41597-021-00892-0.