综合数据管理和分析的知识基础设施,支持预测毒理学和风险评估的新方法方法
Barry Hardy1, Tomaz Mohoric1, Thomas Exner1
1Edelweiss Connect GmbH, Switzerland.
概括
欧盟-ToxRisk项目开发了一个强大的数据管理基础设施,以支持从动物试验转向机械毒理学的转变. 该系统促进数据共享和分析,以改善化学风险评估.
科学领域:
- 毒理学 毒理学 毒理学
- 数据科学数据科学数据科学
- 计算化学的计算化学
背景情况:
- 欧盟-ToxRisk项目旨在用机械毒理学取代动物试验.
- 来自40多个合作伙伴的各种数据的管理带来了重大挑战.
研究的目的:
- 描述在EU-ToxRisk项目中开发的数据管理方法.
- 建立一个知识基础设施,用于协作化学风险评估.
主要方法:
- 开发了一个可扩展的数据格式和灵活的数据捕获/共享系统.
- 实施了方法数据库,可持续的数据存档和通过API进行细粒度数据访问.
- 使用"网络笔记本"方法和协作知识门户网站创建数据探索模块.
主要成果:
- 建立了一个全面的数据基础设施,集成数据格式,捕获,共享,存档和访问.
- 通过集成模块实现了细分数据访问,并促进了数据探索和分析.
- 创建了一个协作知识门户,用于整个联盟的信息交换.
结论:
- 开发的数据管理基础设施对于推进机械毒理学和减少动物试验至关重要.
- 该系统为正在进行和未来的项目提供了基础,促进了化学安全评估的合作研究和知识共享.
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