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改善数据共享和FAIR数据实践以促进全球精神卫生的机遇。

Opportunities for improving data sharing and FAIR data practices to advance global mental health.

作者信息

Sadeh Yaara, Denejkina Anna, Karyotaki Eirini, Lenferink Lonneke I M, Kassam-Adams Nancy

机构信息

Center for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, USA.

Trauma Data Institute, Lovingston, VA, USA.

出版信息

Glob Ment Health (Camb). 2023 Mar 3;10:e14. doi: 10.1017/gmh.2023.7. eCollection 2023.

DOI:10.1017/gmh.2023.7
PMID:37860102
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10581864/
Abstract

It is crucial to optimize global mental health research to address the high burden of mental health challenges and mental illness for individuals and societies. Data sharing and reuse have demonstrated value for advancing science and accelerating knowledge development. The FAIR (Findable, Accessible, Interoperable, and Reusable) Guiding Principles for scientific data provide a framework to improve the transparency, efficiency, and impact of research. In this review, we describe ethical and equity considerations in data sharing and reuse, delineate the FAIR principles as they apply to mental health research, and consider the current state of FAIR data practices in global mental health research, identifying challenges and opportunities. We describe noteworthy examples of collaborative efforts, often across disciplinary and national boundaries, to improve Findability and Accessibility of global mental health data, as well as efforts to create integrated data resources and tools that improve Interoperability and Reusability. Based on this review, we suggest a vision for the future of FAIR global mental health research and suggest practical steps for researchers with regard to study planning, data preservation and indexing, machine-actionable metadata, data reuse to advance science and improve equity, metrics and recognition.

摘要

优化全球心理健康研究对于应对个人和社会面临的心理健康挑战及精神疾病的沉重负担至关重要。数据共享和再利用已证明对推动科学发展和加速知识进步具有价值。科学数据的FAIR(可查找、可访问、可互操作和可再利用)指导原则提供了一个提高研究透明度、效率和影响力的框架。在本综述中,我们描述了数据共享和再利用中的伦理和公平考量,阐述了适用于心理健康研究的FAIR原则,并审视了全球心理健康研究中FAIR数据实践的现状,识别挑战与机遇。我们描述了为提高全球心理健康数据的可查找性和可访问性而开展的协作努力的显著例子,这些努力通常跨越学科和国家界限,还描述了创建提高互操作性和可再利用性的综合数据资源和工具的努力。基于本综述,我们提出了FAIR全球心理健康研究未来的愿景,并就研究规划、数据保存和索引、机器可操作的元数据、推进科学和改善公平性的数据再利用、指标及认可等方面为研究人员提出了切实可行的步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee0c/10581864/2d2ea79ed77e/S2054425123000079_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee0c/10581864/2d2ea79ed77e/S2054425123000079_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee0c/10581864/2d2ea79ed77e/S2054425123000079_fig1.jpg

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