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流行病应对公共资源

Matthew Trunnell1, Casey Frankenberger2, Bala Hota2

  • 1Open Commons Consortium, Chicago, IL 60607, United States.

JAMIA open
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此摘要是机器生成的。

流行病响应共享 (PRC) 是一种新的流行病研究数据平台,基于开源技术构建. 它为研究流行病的研究人员提供了数据共享和分析的便利.

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数据公众资源数据公众分享数据的数据共享.数据系统数据系统.流行病是一种流行病.区域数据公共资源

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科学领域:

  • 流行病学 流行病学
  • 数据科学数据科学数据科学
  • 公共卫生信息学 公共卫生信息学

背景情况:

  • 数据公众是社区内管理和共享研究数据的重要平台.
  • 流行病应对公共资源 (PRC) 专门设计用于在流行病和流行病期间支持研究人员.

研究的目的:

  • 为流行病研究开发和实施一个强大的数据共享.
  • 建立一个可扩展和安全的平台来管理多样化的流行病学数据集.

主要方法:

  • 中国使用的是开源的Gen3数据平台.
  • 成立了一个区域组织联盟,以发展和运营中华人民共和国.
  • 数据治理遵循NIST SP 800-53标准,并采用共识数据模型进行协调.

主要成果:

  • 成立了一个一般的PRC和一个区域实例,即芝加哥兰COVID-19公园.
  • 精选的数据集包括COVID-19病例统计,临床数据和病毒变体信息.
  • 该平台被配置为适度的安全控制.

结论:

  • 在疫情爆发之前,一个PRC应该已经开始运作,以确保快速应对.
  • 区域PRC实例可以集成到更大的数据生态系统或数据网格中,以加强疫情防控.
  • 中国为合作的流行病研究和数据共享提供了有价值的基础设施.