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使用EPA NaKnowBase和资源描述框架翻译纳米EHS数据.

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联邦机构正在通过为纳米环境健康和安全 (nanoEHS) 数据建立一个共同的语言,提高跨平台的互操作性和共享来改善对纳米材料安全数据的访问.

关键词:
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科学领域:

  • 环境健康和安全环境健康和安全
  • 纳米材料科学 科学 纳米材料科学
  • 数据科学和信息学数据科学和信息学

背景情况:

  • 美国联邦政府产生了大量的纳米材料和纳米环境健康和安全 (nanoEHS) 数据.
  • 在联邦纳米EHS数据库中,有必要改善数据互操作性,翻译和可持续性.
  • NaKnowBase (NKB) 是美国环保署研发办公室 (ORD) 开发的一个关键资源,用于存储工程纳米材料环境和生物相互作用的实验数据.

研究的目的:

  • 为纳米EHS数据建立一个共同的语言,与FAIR数据标准保持一致.
  • 解决纳米材料数据的命名体系挑战,以加强数据共享和互操作性.
  • 确保一致性,并促进与美国和欧洲伙伴的合作.

主要方法:

  • 实施EPA NaKnowBase (NKB) 的语义集成.
  • 开发计算代码以将NKB记录转换为研究描述框架 (RDF) 格式.
  • 使用OntoSearcher工具部分自动化本体学映射并减少手动策划.

主要成果:

  • 为了实现语义集成,NaKnowBase (NKB) 已被更新.
  • 已经开发出计算工具来将NKB数据转换为RDF.
  • 该OntoSearcher工具有助于自动化本体学映射过程.

结论:

  • 美国环境保护局 (EPA) 正在积极推动联邦纳米EHS数据的FAIR数据标准.
  • 语义整合和NAM (计算工具) 的开发是改善纳米EHS数据管理的关键策略.
  • 这些努力旨在提高联邦合作伙伴层面的数据可访问性和可用性.