在IDeA-CTR网络上建立协作生态系统,以应对突发公共卫生事件。

IF 2 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Journal of Clinical and Translational Science Pub Date : 2025-07-16 eCollection Date: 2025-01-01 DOI:10.1017/cts.2025.10098
A Jerrod Anzalone, Sharon Patrick, Amber Abel, Brad Price, Elizabeth Reisher, Kent Ripplinger, Mary Emmett, Ronald Horswell, San Chu, William B Hillegass, Francisco S Sy, Brian Melancon, H Timothy Bunnell, Lucio Miele, Mary Helen Mays, Joseph Keawe'aimoku Kaholokula, Elizabeth S Chen, Karen M Crowley, Indra Neil Sarkar, Susan L Santangelo, Clifford J Rosen, Jeremy Harper, David Bard, William Beasley, Sally L Hodder
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引用次数: 0

摘要

导言:COVID-19大流行的紧迫性和规模要求公共卫生机构和生物医学研究界协调应对。国家COVID队列协作(N3C)于2020年成立,是一个集中的飞地,旨在支持美国各地的COVID-19研究。临床和转化研究机构发展奖(IDeA-CTR)中心通过吸引农村和医疗服务不足社区的代表,加强了N3C的国家响应。这改善了我们在N3C飞地的不同人口的代表性,并将其用于IDeA-state调查员的研究。方法:我们开发了一个跨idea - ctr的组织结构,以提高美国资源挑战地区的研究生产力。这个社会技术生态系统由社区投入通知,包括一个治理委员会和两个工作流程。运营工作流程侧重于数据管理和法规遵从,而导航、教育、分析和培训(NEAT)工作流程支持N3C Enclave的教育和分析活动。结果:我们的合作方法促成了12个idea - cr的参与,代表了来自23个站点的400多名研究者。共享治理、研究者参与和资源汇集提高了研究生产力和与IDeA各州研究人员的参与。参与该IDeA-CTR N3C联盟增强了参与网络的IDeA-CTR之间的信息学研究能力和协作。结论:这种合作模式为idea - cr和其他学术伙伴关系之间的未来努力提供了路线图和框架。社会技术生态系统培养了集体主义和团队科学,使联盟取得了远远超过孤立努力的成果,为跨地理分散的社区的跨学科研究提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building a collaborative ecosystem across the IDeA-CTR networks in response to a public health emergency.

Introduction: The urgency and scale of the COVID-19 pandemic demanded a coordinated response from public health agencies and the biomedical research community. The National COVID Cohort Collaborative (N3C) was established as a centralized enclave in 2020 to support the study of COVID-19 across the U.S. The Institutional Development Award for Clinical and Translational Research (IDeA-CTR) centers enhanced N3C's national response by bringing representation from rural and medically underserved communities. This improved the representation of our diverse populations in the N3C Enclave and its use for research by IDeA-state investigators.

Methods: We developed an organizational structure across the IDeA-CTRs to improve research productivity in resource-challenged areas of the U.S. This socio-technical ecosystem, informed by community input, included a governance committee and two workstreams. The operations workstream focused on data management and regulatory compliance, while the navigation, education, analysis, and training (NEAT) workstream supported educational and analytical activities for the N3C Enclave.

Results: Our collaborative approach led to participation by 12 IDeA-CTRs, representing over 400 investigators from 23 sites. The shared governance, investigator engagement, and resource pooling enhanced research productivity and engagement with researchers across IDeA states. Participation in this IDeA-CTR N3C consortium enhanced informatics research capacity and collaboration across the IDeA-CTRs for participating networks.

Conclusions: This collaborative model provides a roadmap and framework for future efforts among IDeA-CTRs and other academic partnerships. The socio-technical ecosystem fostered collectivism and team science, enabling the consortium to achieve far more than isolated efforts could, offering valuable insights for interdisciplinary research across geographically dispersed communities.

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来源期刊
Journal of Clinical and Translational Science
Journal of Clinical and Translational Science MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
2.80
自引率
26.90%
发文量
437
审稿时长
18 weeks
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