CD2H - National COVID Cohort Collaborative (N3C)
CD2H - 国家新冠肺炎队列协作 (N3C)
基本信息
- 批准号:10320152
- 负责人:
- 金额:$ 214.9万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-03-15 至 2021-06-30
- 项目状态:已结题
- 来源:
- 关键词:AlgorithmsArchitectureAreaBenchmarkingClinicalClinical DataClinical InformaticsClinical ResearchCollaborationsCommon Data ElementCommunitiesCommunity of PracticeComputer softwareCultural EvolutionDataData AnalysesData SetDevelopmentDisciplineEcosystemEvaluationEvolutionFAIR principlesFast Healthcare Interoperability ResourcesFoundationsGoalsGoldHealthHealth Science LibraryHealth SciencesHealthcareHumanIndividualInformaticsInformation ResourcesInformation SciencesInformation TechnologyInfrastructureInstitutionKnowledgeLeadershipLearningLicensingLongevityMetadataMethodologyMethodsModelingMorphologic artifactsOregonOutcomePatientsProcessPublic Health InformaticsQuality ControlRare DiseasesReportingResearchResearch InstituteResourcesScanningScienceServicesSoftware EngineeringSoftware ToolsSynapsesSystemTechnologyThe Jackson LaboratoryTrainingTranslational ResearchUnited States National Institutes of HealthUniversitiesUpdateVendorVisionWashingtonWorkbasebiomedical informaticscloud basedcohortcollaborative approachcollaborative environmentcoronavirus diseasedata ecosystemdata harmonizationdata modelingdata qualitydata sharingdata standardsdata translatordesigndigital healthexperiencehealth care qualityhealth recordimprovedinformatics infrastructureinformatics toolinnovationinteroperabilityinventionopen dataopen sourcequality assurancesoftware developmentsuccesstool
项目摘要
PROJECT SUMMARY
Over the past decade, the CTSAs have made incredible progress in developing informatics tools and services
to support institutional or hub-centric translational research. However, robust collaboration between the hubs is
required to realize the full potential of the CTSA network, a living ecosystem of collaboration and sharing. We
have brought together pioneers of open science, clinical and biomedical informatics, health science libraries,
and the NCATS Translator initiative to propose the creation of a National Center for Digital Health Innovation to
coalesce the CTSA informatics community together with the open science community to catalyze the next
steps in the evolution of biomedical informatics. We will create an open governance model that includes all
who would like to participate and collaboratively forge the next steps. We will embrace an ‘idea to
implementation’ model (I2I), supporting the creation of collaboratively developed sustainable infrastructure. We
will do this via the axes of open data, open software, open resources, and through two integrated thematic
areas of urgent need: rare disease and human health across the lifespan. Underpinning these efforts are
innovative models for evaluation, training, and the creation of community challenges as mechanisms to
stimulate new and impactful tools and methods. We will leverage the power of an open and team science
approach to demonstrate new research opportunities. Our leadership include Oregon Health Sciences
University, Johns Hopkins University, the University of Washington, Washington University in St. Louis,
Northwestern University, Sage BioNetworks, the Jackson Laboratory and the Scripps Research Institute. We
have collaborators from all areas of translational informatics including health record vendors, clinical research
networks and leaders in open software and open data. Together our efforts will catalyze the next stage in the
evolution of the national informatics infrastructure for clinical and translational research.
项目摘要
在过去的十年中,CTSA在开发信息学工具和服务方面取得了令人难以置信的进展
支持机构或以中心为中心的转化研究。然而,枢纽之间的强有力的合作是
这是实现CTSA网络的全部潜力所必需的,CTSA网络是一个协作和共享的活生态系统。我们
汇集了开放科学,临床和生物医学信息学,健康科学图书馆,
和NCATS翻译倡议,建议建立国家数字健康创新中心,
将CTSA信息学社区与开放科学社区结合在一起,以促进下一个
生物医学信息学发展的重要步骤。我们将建立一个开放的治理模式,
他们愿意参与并合作制定下一步计划。我们将接受一个“想法,
实施模式(I2I),支持创建协作开发的可持续基础设施。我们
将通过开放数据、开放软件、开放资源的轴心,并通过两个集成的主题,
迫切需要的领域:罕见疾病和整个生命周期的人类健康。这些努力的基础是
评估、培训和创建社区挑战的创新模式,
鼓励新的和有影响力的工具和方法。我们将利用开放和团队科学的力量
展示新的研究机会。我们的领导层包括俄勒冈州健康科学
大学,约翰霍普金斯大学,华盛顿大学,圣路易斯华盛顿大学,
西北大学、Sage BioNetworks、杰克逊实验室和斯克里普斯研究所。我们
有来自翻译信息学各个领域的合作者,包括健康记录供应商、临床研究
开放软件和开放数据的网络和领导者。我们的共同努力将促进下一阶段的
国家临床和转化研究信息基础设施的发展。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('CHRISTOPHER G CHUTE', 18)}}的其他基金
Iron-CLAD: securely advancing AoU participant characterization with provenplatforms and collaborations
Iron-CLAD:通过经过验证的平台和协作安全地推进 AoU 参与者特征描述
- 批准号:
10829135 - 财政年份:2023
- 资助金额:
$ 214.9万 - 项目类别:
Johns Hopkins Training Program in Biomedical Informatics and Data Science
约翰霍普金斯大学生物医学信息学和数据科学培训计划
- 批准号:
10406045 - 财政年份:2022
- 资助金额:
$ 214.9万 - 项目类别:
Johns Hopkins Training Program in Biomedical Informatics and Data Science
约翰霍普金斯大学生物医学信息学和数据科学培训计划
- 批准号:
10620202 - 财政年份:2022
- 资助金额:
$ 214.9万 - 项目类别:
Computational LOINC to Support Biomedical Research at Scale
计算 LOINC 支持大规模生物医学研究
- 批准号:
10395413 - 财政年份:2021
- 资助金额:
$ 214.9万 - 项目类别:
Computational LOINC to Support Biomedical Research at Scale
计算 LOINC 支持大规模生物医学研究
- 批准号:
10610911 - 财政年份:2021
- 资助金额:
$ 214.9万 - 项目类别:
A National Center for Digital Health Informatics Innovation
国家数字健康信息学创新中心
- 批准号:
10437464 - 财政年份:2021
- 资助金额:
$ 214.9万 - 项目类别:
A National Center for Digital Health Informatics Innovation
国家数字健康信息学创新中心
- 批准号:
10464821 - 财政年份:2021
- 资助金额:
$ 214.9万 - 项目类别:
Computational LOINC to Support Biomedical Research at Scale
计算 LOINC 支持大规模生物医学研究
- 批准号:
10093337 - 财政年份:2021
- 资助金额:
$ 214.9万 - 项目类别:
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