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食品成分数据库的现状:数字创新时代的数据属性和FAIR数据协调

Sarah Brinkley¹, Jenny J Gallo-Franco², Natalia Vázquez-Manjarrez³

¹The Periodic Table of Food Initiative, Bioversity International, CGIAR, Rome, Italy.

Frontiers in nutrition

|April 8, 2025

概括

食品成分数据库 (FCDB) 在范围和数据质量方面存在很大差异. 高收入国家在FAIR数据原则方面处于领先地位,改善了全球粮食系统的理解和健康.

科学领域:

食品科学食品科学食品科学
生物信息学是一种生物信息学.
数据科学数据科学数据科学

背景情况:

食品成分数据库 (FCDB) 对于了解食品质量和支持全球食品系统至关重要.
由于数据的复杂性,在满足验证方法,元数据和FAIR数据原则等标准方面存在挑战.

研究的目的:

对来自110个国家的101个FCDB进行综合性审查,评估35个数据属性.
评估这些数据库的范围,内容和公平性 (可查找性,可访问性,互操作性,可重复使用性).

主要方法:

审查了来自110个国家的101个FCDB,分析了35个数据属性.
将属性分类为一般数据库信息,食品/成分和公平性.
评估了可访问性,互操作性和可重复使用性的FAIR合规性得分.

主要成果:

数据库显示,食品和成分的数量存在显著的变化.
拥有更多数据的FCDB经常使用二次来源;使用较少初级数据的FCDB.
公平的合规得分为100%的可寻性,但30%的可访问性,69%的互操作性和43%的可重复使用性.
来自高收入国家的数据库表现出更好地遵守FAIR原则和更频繁的更新.

结论:

在元数据,科学命名和数据重用政策的限制阻碍了FCDB的实用性.
经济分类与数据质量和FAIR遵守相关.
改善FCDB为数据驱动的解决方案提供了机会,以应对全球食品系统的挑战并促进健康.

关键词:

公平的数据是公平的.食品成分食品成分食品成分食品成分数据食品成分数据食品成分数据管理食品成分数据管理食品成分数据库食品成分数据库食品质量食品质量食品质量这些都是元数据.营养数据库营养数据库

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