RCMI Research Capacity Core

摘要--研究能力核心 RCMI癌症和健康差异研究中心将提高泽维尔公司的质量和生产率 癌症和健康差异焦点领域的基础生物医学、行为和临床研究 建立研究能力核心(RCC)，将拥有卫生信息学和数据分析资源， 共享仪器、治疗开发核心设施以及细胞和分子生物学设施。这个 拟议的RCC建立在以前为泽维尔研究人员提供服务的研究基础设施核心实验室的基础上 并在上一个U54周期中帮助增强了研究能力。基于对实力的评估和 针对Xille调查员目前研究组合中的弱点，RCC将扩大核心资源和 落实新的优先顺序规则，改进标准操作程序，提高管理效率 核心设施，包括融合跨学科的专门知识和费用回收系统。最大限度地 RCC建议，在所有正在进行的与健康相关的研究领域，让Xavier调查人员受益 以下具体目标是为了实现提高泽维尔公司研究竞争力的总体目标。 在目标1中，我们将为泽维尔研究人员扩大和维持核心设施和资源。解决泽维尔的问题 研究界的需求和挑战，RCC将扩大数据科学核心资源，以提供 在大数据分析、社会和行为数据分析、生物信息学和多组学分析方面的服务， 生物统计学，可用于解决健康不平等问题的统计分析。中国铁路局将维持以前的 已建立的核心资源，包括主要仪器设施、治疗开发资源和 细胞和分子生物学核心设施，提供了必要的仪器和技术支持 泽维尔的生物医学研究项目。为了维持这些核心设施和资源，RCC将实施一项 分层和有效的成本回收计划，并利用机构对维护和 核心设施的运营。在具体目标2中，我们将在研究方法方面加强核心服务， 专业实验室技术、统计学、生物信息学和健康信息学。农村信用社将扩大 教师专家小组(FEG)将包括两名额外的数据科学家，以支持行为和临床研究 项目。FEG将由在实验设计和实验设计方面具有研究专长的高级教员组成 药物发现和配方、细胞和分子生物学、机理研究和 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。这个 建议的RCC将进一步确定服务的优先顺序并进行精简，以更好地满足泽维尔研究的需求 社区。RCC将有两名核心董事，他们将领导教员专业小组，同时担任 FEG成员。FEG将负责核心管理、服务优先级确定和提供 在研究方法开发、专业实验室技术、统计学、 生物信息学和健康信息学。

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.