FAIR-Checker:通过知识图和语义网络标准支持数字资源的可查和重复使用
Alban Gaignard1, Thomas Rosnet2,3, Frédéric De Lamotte4
1Nantes Université, CNRS, INSERM, l'institut du thorax, F-44000, Nantes, France. alban.gaignard@univ-nantes.fr.
Journal of biomedical semantics
|July 1, 2023
概括
FAIR-Checker是一个新的网络工具,自动评估数字资源的可查找,可访问,可互操作和可重复使用 (FAIR) 原则. 它帮助研究人员提高元数据质量,以便在生命科学中更好地共享和重复使用数据.
科学领域:
- 生命科学 生命科学
- 生物信息学是一种生物信息学.
- 数字资源管理 数字资源管理
背景情况:
- 开放科学和可重复性倡议需要生物数字资源的机器可操作的元数据.
- 公平原则 (可查找,可访问,可互操作,可重复使用) 对于数据和元数据共享至关重要,具有定义的指标.
- 由于技术专长和时间限制,自动化公平性评估具有挑战性.
研究的目的:
- 引入FAIR-Checker,这是一个基于网络的工具,用于评估数字资源元数据的公平性.
- 为元数据评估,建议和质量改进提供模块.
- 为了利用语义 Web 技术进行自动化 FAIR 度量评估.
主要方法:
- 开发一个基于网络的工具,FAIR-Checker.
- 实施语义网络标准,包括SPARQL查询和SHACL约束.
- 创建用于元数据评估和用户协助的"检查"和"检查"模块.
主要成果:
- 公平检查器自动评估元数据的公平度指标.
- 该工具可以识别各种资源类型的缺失,必要或建议的元数据.
- 评估证明了提高个人资源 FAIRification 和分析大规模生物信息学软件描述的实用性.
结论:
- 公平检查器简化和自动化对元数据的公平性评估.
- 该工具支持研究人员提高元数据质量,促进数据共享和重用.
- 它有助于更广泛的开放科学和生命科学中的可复制性目标.
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