RCMI Research Capacity Core

RCMI 研究能力核心

• 批准号: 10800565
• 负责人: Vladimir Kolesnichenko
• 金额: $ 145.1万
• 依托单位: XAVIER UNIVERSITY OF LOUISIANA
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-24 至 2028-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10800565
• 关键词: Address; Area; Basic Science; Behavioral; Behavioral Research; Big Data Methods; Bioinformatics; Biomedical Research; Biometry; Cancer Center; Cellular biology; Charge; Clinical Research; Collaborations; Communities; Core Facility; Data Analyses; Data Analytics; Data Science Core; Data Scientist; Development; Drug Delivery Systems; Drug Formulations; Ecosystem; Experimental Designs; Faculty; Goals; Health; Health Disparities Research; Institution; Investigation; Laboratories; Leadership; Maintenance; Molecular Biology; Pilot Projects; Procedures; Production; Productivity; Public Health Informatics; Recovery; Reduce health disparities; Research; Research Infrastructure; Research Methodology; Research Personnel; Research Project Grants; Resource Development; Resources; Services; Statistical Data Interpretation; System; Technical Expertise; Techniques; cancer health disparity; community based research; computerized data processing; cost; drug discovery; experience; experimental study; health data; health disparity; health inequalities; improved; instrumentation; member; minority health; multiple omics; operation; programs; senior faculty; social; statistics; therapeutic development; tool

SUMMARY – RESEARCH CAPACITY CORE The RCMI Cancer and Health Disparities Research Center will enhance the quality and productivity of Xavier’s basic biomedical, behavioral, and clinical research in the focus area of cancer and health disparities by establishing a Research Capacity Core (RCC) that will have health informatics and data analytic resources, shared instrumentation, therapeutic development core facilities, and cell and molecular biology facilities. The proposed RCC build on the previous Research Infrastructure Core laboratories that served Xavier investigators and helped enhanced the research capacity in the last U54 cycle. Based on the assessment of strengths and weaknesses in the current research portfolio of Xavier investigators, the RCC will expand core resources and implement new rules of prioritization, improved standard operation procedures, and more effective management of core facilities including convergence of cross disciplinary expertise and cost recovery systems. To maximally benefit Xavier investigators across all health-related research areas that are being pursued, the RCC proposes the following specific aims to accomplish the overarching goal of enhancing Xavier’s research competitiveness. In Aim 1, we will expand and sustain core facilities and resources for Xavier researchers. Addressing Xavier’s research community needs and challenges, the RCC will expand a Data Science core resource to provide services in big data analytics, social and behavioral data analysis, bioinformatics and multi-omics analysis, biostatistics, statistical analysis that can be utilized to address health inequities. The RCC will maintain previously established core resources including Major Instrumentation facilities, Therapeutic Development resources, and Cell and Molecular Biology core facilities that have provided essential instrumental and technical support to Xavier’s biomedical research projects. To sustain these core facilities and resources, the RCC will implement a stratified and effective cost recovery program and leverage institutional commitment for the maintenance and operation of the core facilities. In specific aim 2, we will enhance core services in research methodology, specialized laboratory techniques, statistics, bioinformatics and health informatics. The RCC will expand the faculty expertise group (FEG) to include two additional data scientists to support behavioral and clinical research projects. The FEG will consist of senior faculty members with research expertise in experimental design and research strategy on drug discovery and formulation, cell and molecular biology, mechanistic investigations, and data processing using various bioinformatics and biostatistics tools, and analytical instrumentation. The proposed RCC will further prioritize and streamline the services to better meet the needs of Xavier’s research community. The RCC will have two core directors who will lead the faculty expertise group while also serving as FEG members. The FEG will be charged with core management, service prioritization, and provision of consulting services in research methodology development, specialized laboratory techniques, statistics, bioinformatics and health informatics.

摘要 - 研究能力核心 RCMI癌症和健康差异研究中心将提高Xavier的质量和生产力 癌症和健康分布重点领域的基本生物医学，行为和临床研究 建立将具有健康信息和数据分析资源的研究能力核心（RCC）， 共享仪器，热发展核心设施以及细胞和分子生物学设施。 拟议的RCC建立在先前的研究基础设施核心实验室的基础上，该实验室为Xavier调查人员服务 并帮助增强了最后一个U54周期的研究能力。根据优势的评估 Xavier研究人员当前研究组合中的弱点，RCC将扩大核心资源和 实施新的优先级规则，改进的标准操作程序和更有效的管理 核心设施，包括跨学科专业知识和成本回收系统的收敛。最大 RCC提案受益于正在追求的所有与健康相关的研究领域的调查人员 以下具体旨在实现增强Xavier研究竞争力的总体目标。 在AIM 1中，我们将为Xavier研究人员扩展和维持核心设施和资源。解决Xavier的问题 研究社区的需求和挑战，RCC将扩大数据科学核心资源以提供 大数据分析，社会和行为数据分析，生物信息学和多派分析中的服务， 生物统计学，可用于解决健康不平等的统计分析。 RCC以前将保持 建立的核心资源，包括主要的仪器设施，治疗发展资源以及 细胞和分子生物学核心设施，这些设施为 Xavier的生物医学研究项目。为了维持这些核心设施和资源，RCC将实施 分层且有效的成本恢复计划，并利用机构承诺进行维护和 核心设施的操作。在特定目标2中，我们将增强研究方法中的核心服务， 专业实验室技术，统计，生物信息学和健康信息。 RCC将扩展 教师专业知识小组（FEG）包括另外两个数据科学家，以支持行为和临床研究 项目。 FEG将由具有实验设计研究专业知识的高级教师组成， 药物发现和配方奶，细胞和分子生物学，机理研究以及 使用各种生物信息学和生物统计学工具以及分析仪器进行数据处理。这 拟议的RCC将进一步优先考虑和简化服务，以更好地满足Xavier研究的需求 社区。 RCC将有两个核心主任，他们将领导教师专业团体，同时也是 FEG成员。 FEG将指控核心管理，服务优先级和提供 研究方法开发中的咨询服务，专业实验室技术，统计学， 生物信息学和健康信息。