RCMI Research Infrastructure Core
RCMI Research Infrastructure Core
批准号:
10644989
负责人:
Fatima Aziz Merchant
金额:
$87.2万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-09-08 至 2025-04-30
关键词:
AccelerationAreaBiometryCollaborationsCommunitiesComplexDataDisciplineDisparityElectronicsEndowmentEnvironmentEthicsFacultyFundingGiftsHealthHealth Disparities ResearchHealth SciencesHealth ServicesIncubatorsIndividualInfrastructureInvestmentsLaboratoriesLeadershipLinkMarketingMissionMonitorNamesNational Center for Advancing Translational SciencesNational Institute on Minority Health and Health DisparitiesOutputPhysical therapyPostdoctoral FellowPrevention ResearchPrimary CareProductivityPublic Health InformaticsPublicationsRecoveryReproducibilityResearchResearch InfrastructureResearch MethodologyResearch PersonnelResourcesScanningScienceScientistServicesSystemTechniquesTechnologyTimeTrustUnderserved PopulationUnited States National Institutes of HealthUniversitiesVisionWorkaddictionbehavioral healthcancer preventioncollegecostcost effectivedata managementethnic diversityexperiencehealth disparity populationshealth equityinnovationintegrated caremarginalized communitymetropolitannovelresponsible research conductsatisfactionservice utilizationunderserved communityuser-friendly
中文摘要
摘要
休斯顿大学(UH)拥有约400名教师(约150名来自社区
在健康科学领域代表性不足)进行与健康有关的研究。这些教师跨越12
学院和28个学术单位。最近的环境扫描表明(1)有一个天然的源泉
来自广泛的卫生学科的科学家可以利用研究基础设施核心(RIC)
推进他们的研究;(2)有巨大的机会让更多的科学家参与创新
健康公平科学,可以发现新的解决方案,在成瘾和癌症预防的差距
在休斯顿和其他地方,我们的服务不足和边缘化社区受到折磨。RIC将由
经验丰富的科学家,对健康公平科学充满热情。最终,拟议的RCMI是
独特的位置,积极推出一个集中的RIC能够实现四个具体目标:目标1。
执行一个集中的研究基础设施,这将提高科学的严谨性,生产力,
以及成瘾和癌症预防研究的影响。计划:提供最先进的核心服务,
(1)研究方法;(2)实验室技术和设施;(3)数据管理和
生物统计学;(4)健康信息学;(5)负责任的研究行为,道德和合规性
健康差异研究;目标2。开发一个知识孵化器,产生跨学科的
研究团队将健康科学领域代表性不足的研究人员与已建立的研究人员联系起来
在UH。计划:执行一个全面的营销计划,目标和鼓励大学的领导,
教师和博士后研究员利用RIC服务来推进他们的科学,同时抓住机会
建立新的跨学科研究团队,为复杂的健康挑战寻求新的解决方案;目标3。
为RCMI科学家提供具有成本效益、可访问性、高效性和
优秀的客户服务。计划:执行用户友好的电子票务和跟踪系统,
实时监控服务利用率和满意度,同时还为数据驱动的
资源,以最大限度地提高最终用户的需求,并证明了可观的投资回报;目标4.追求
最大限度地减少大学资源重复,并与地方和国家建立桥梁的合作
范例计划:与地方和国家示范项目的负责人合作,达成共同愿景,
促进健康公平科学。最终,具有强大科学严谨性的大规模创新研究,
如果没有有效的最先进的研究,透明度和可重复性就无法完全实现
基础设施演进
英文摘要
ABSTRACT
The University of Houston (UH) has approximately 400 faculty (~150 from communities
underrepresented in the health sciences) conducting health-related research. These faculty span 12
Colleges and 28 academic units. This recent environmental scan suggests (1) there is a natural wellspring
of scientists from a broad range of health disciplines that can leverage the Research Infrastructure Core (RIC)
to advance their research; and (2) there is a tremendous opportunity to engage more scientists in innovative
health-equity science that can discover novel solutions to disparities in addictions and cancer prevention
afflicting our underserved and marginalized communities in Houston and beyond. The RIC will be executed by
experienced scientists that are passionate about health-equity science. Ultimately, the proposed RCMI is
uniquely situated to aggressively launch a centralized RIC capable of actualizing four specific aims: Aim 1.
Execute a centralized research infrastructure that will enhance the scientific rigor, productivity,
and impact of addictions and cancer prevention research at UH. Plan: Deliver state-of-the-art core services in
the areas of (1) Research Methodology; (2) Laboratory Techniques and Facilities; (3) Data Management and
Biostatistics; (4) Health Informatics; and (5) Responsible Conduct of Research, Ethics, and Compliance in
health-disparities research; Aim 2. Develop an intellectual incubator that generates transdisciplinary
research teams linking investigators underrepresented in the health sciences with established investigators
at UH. Plan: Execute a comprehensive marketing plan that targets and encourages University leadership,
faculty, and postdoctoral fellows to leverage RIC services to advance their science while taking the opportunity
to build new transdisciplinary research teams that pursue novel solutions to complex health challenges; Aim 3.
Provide dynamic core services for RCMI scientists that are cost-effective, accessible, efficient, and with
excellent customer service. Plan: Execute a user-friendly electronic ticketing and tracking system that will
monitor service utilization and satisfaction in real-time, while also informing the data-driven redistribution of
resources to maximize end-user needs and demonstrate a substantial return-on-investment; Aim 4. Pursue
collaborations that minimize University duplication of resources and build bridges with local and national
exemplars. Plan: Work with the Directors of the local and national exemplars to engage in a shared vision that
advances health-equity science. Ultimately, large-scale innovative research that has strong scientific rigor,
transparency, and reproducibility cannot be fully actualized without an efficient state-of-the-art research
infrastructure.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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批准号:7219169
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依托单位:
Automated Detection of Gene Duplications or Deletions
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财政年份:2000
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依托单位:
AUTOMATED DETECTION OF GENE DUPLICATIONS OR DELETIONS
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依托单位:
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资助金额:$38.59万
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依托单位:
Semi-Automated Prenatal Screening Using Maternal Blood
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资助金额:$31.45万
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依托单位:
Improved Imaging for Precise Crytpic Anomaly Detection
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依托单位:
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依托单位:
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