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在IDeA-CTR网络中建立一个协作生态系统,以应对公共卫生紧急情况
A Jerrod Anzalone1, Sharon Patrick2, Amber Abel2
1University of Nebraska Medical Center, Great Plains IDeA-CTR, Omaha, NE, USA.
Journal of clinical and translational science
|September 22, 2025
概括
国家COVID队列协作 (N3C) 通过整合临床和翻译研究机构发展奖 (IDeA-CTR) 中心扩大了其影响力. 这种合作增强了来自多样化和服务不足的社区的科研代表性,用于COVID-19研究.
科学领域:
- 公共卫生 公共卫生
- 生物医学研究生物医学研究
- 数据科学数据科学数据科学
背景情况:
- 由于COVID-19的流行,需要采用统一的研究方法.
- 国家COVID队列协作 (N3C) 成立,以集中COVID-19研究数据.
- 临床和翻译研究机构发展奖 (IDeA-CTR) 的中心旨在包括N3C的多样化人口.
研究的目的:
- 制定一个组织结构,使IDEA-CTR中心能够提高服务不足地区的研究生产力.
- 将IDeA-CTR中心整合到N3C中,以实现更广泛的研究参与和数据利用.
- 在IDEA-CTR网络中促进协作和建立信息学研究能力.
主要方法:
- 建立了一个具有治理委员会和两个工作流 (运营和导航,教育,分析和培训 - NEAT) 的社会技术生态系统.
- 专注于运营工作流的数据管理和监管合规性.
- 通过 NEAT 工作流为 N3C Enclave 提供支持的教育和分析活动.
主要成果:
- 实现了12个IDeA-CTR的参与,涉及23个地点的400多名调查员.
- 通过共享治理,调查员参与和资源共享来提高研究生产力和参与度.
- 加强了IDeA-CTR N3C联盟内的信息学研究能力和中心间合作.
结论:
- 开发的合作模式为未来的学术和机构间伙伴关系提供了一个框架.
- 社会技术生态系统促进了团队科学和集体努力,超过了孤立研究的影响.
- 这种方法为跨学科的跨地理分布的社区的跨学科研究提供了宝贵的见解.
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