链接ML:一个开放的数据建模框架
Sierra A T Moxon1, Harold Solbrig2, Nomi L Harris1
1Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
GigaScience
|December 12, 2025
概括
链接数据建模语言 (LinkML) 是一个开放的框架,它在数据源处标准化数据,提高互操作性和FAIR数据合规性. 这种方法简化了数据集成,验证和跨不同科学领域的共享.
科学领域:
- 数据科学是数据科学.
- 计算生物学是一种计算生物学.
- 信息管理 信息管理
背景情况:
- 科学数据通常是无结构的 (例如,自由文本笔记本,电子表格),阻碍了互操作性.
- 缺乏数据标准化使集成,验证和重复使用变得复杂.
- 现有的数据模型可能很复杂,导致一次性格式的扩散.
研究的目的:
- 介绍LinkML (链接数据建模语言) 作为数据标准化的解决方案.
- 展示LinkML能够简化数据创作,验证和共享的能力.
- 促进采用LinkML以提高数据互操作性和FAIR合规性.
主要方法:
- 使用一个开放的框架,具有可接近的语法来描述数据模式,类和关系.
- 支持各种数据结构,从简单的列表到复杂的,具有继承的规范化模型.
- 允许与现有框架无集成,并导入方案.
主要成果:
- 链接ML允许创建定义良好的,稳定的和与本体学一致的数据结构.
- 通过可访问的数据语义来促进跨学科的合作.
- 简化了定义和共享数据模型的过程.
结论:
- 链接ML减少数据异质性和复杂性,促进公平的数据标准.
- 它在各种科学和商业领域得到了广泛采用.
- 链接ML使隐式数据模型显式和可计算,在数据源标准化数据.
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