CFDE工作台:从共同基金计划集成元数据和处理数据
John Erol Evangelista1, Daniel J B Clarke1, Anna I Byrd1
1Department of Pharmacological Sciences, Windreich Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA.
Journal of molecular biology
|January 8, 2026
概括
美国国立卫生研究院共同基金数据生态系统 (CFDE) 工作台协调数据,使其公平且准备好用于人工智能. 这个平台增强了数据的可访问性和互操作性,以加速跨程序的科学发现.
科学领域:
- 生物医学信息学 生物医学信息学
- 数据科学数据科学数据科学
- 基因组学就是基因组学.
背景情况:
- 美国国立卫生研究院共同基金 (CF) 计划旨在改善数据可访问性和互操作性.
- 来自CF计划的不同类型的数据需要协调,以便进行协作研究.
- 成立了CFDE数据资源中心 (DRC),以管理CF数据.
研究的目的:
- 开发基于网络的信息和数据访问门户网站.
- 创建一个托管协调元数据和处理数据的平台.
- 为了促进跨方案的知识发现和加速研究.
主要方法:
- 开发CFDE工作台,一个基于网络的平台.
- 处理数据,元数据和工具的托管.
- 交叉切割元数据模型 (C2M2) 和其他数据格式 (XMT,KG断言) 的实施.
主要成果:
- 该CFDE工作台主机协调元数据和处理的数据.
- 数据格式是FAIR (可查找,可访问,可互操作,可重复使用) 和AI-ready.
- 为跨程序知识发现提供工具和用例.
结论:
- 该CFDE工作台巩固了努力使CF资源协调,公平,AI-ready.
- 该平台通过提高数据可访问性和互操作性来支持加速科学发现.
- 该CFDE工作台促进协作和有效的数据利用.
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