呼吁采取行动:从试点中吸取教训,分享一个复杂的,链接的COVID-19队列数据集,用于开放科学.
Clara Amid1, Martine Y van Roode1, Gabriele Rinck2
1Department of Viroscience, Erasmus Medical Center (Erasmus MC), Dr Molewaterplein 40, Rotterdam, 3015 GD, Netherlands, 31 107044770.
JMIR public health and surveillance
|February 12, 2025
概括
分享相关的实验室和临床数据对于传染病监测至关重要. 一项试点研究展示了一个使用欧洲开放科学基础设施创建连接数据中心以更好地准备疫情的模型.
科学领域:
- 传染病流行病学 传染病流行病学
- 分享基因组数据共享
- 开放科学基础设施是开放科学基础设施.
背景情况:
- COVID-19大流行凸显了及时基因组序列共享和变种监测的必要性.
- 全球连通性需要跨学科的合作,以传染病管理.
- 有效的应对需要对实验室和临床流行病学数据进行综合分析.
研究的目的:
- 开发和评估一种用于存储和共享相关实验室和临床流行病学数据的模型.
- 确定复杂的队列数据集在国际上共享的障碍和复杂性.
- 利用欧洲开放科学基础设施进行连接数据分析.
主要方法:
- 使用欧洲开放科学基础设施进行试点研究.
- 开发连接的数据中心,将临床-流行病学和实验室数据联系起来.
- 在数据管理中应用FAIR (可查找,可访问,可互操作,可重复使用) 原则.
- 对事件时间表和数据集共享的关键路径的分析.
主要成果:
- 通过在现有的欧洲核酸存档基础设施的基础上建立连接的数据中心.
- 成功地将人类临床流行病学数据 (受控访问) 与高维实验室数据 (开放访问) 联系起来.
- 确定了机会研究的国际数据共享的关键障碍和复杂性.
结论:
- 现有的基础设施可以促进传染病研究数据中心的快速发展.
- 提供了建议,以改善数据共享,以加强疫情防控和应对.
- 跨学科和国际合作对于管理新出现的传染病至关重要.
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