Administrative and Data Analytics Core A

管理和数据分析核心A摘要 管理和数据分析核心的主要目标是改善研究环境， 基础设施，以追求建立在项目领导人，核心董事和所有 调查人员确保成本有效的管理和PPG目标的整合。方案项目 拨款资助机制旨在加强合作研究和传播新信息 否则不会发生的事情。管理和数据分析核心有四个主要目标， 责任首先是促进科学进步和各项目和核心之间的协调， 包括专业发展和思想拓展。这包括协调科学活动， 外部咨询委员会成员的沟通和旅行，组织和监督定期 整个研究团队的科学会议。这些服务将提供给所有参与的研究者 在PPG的框架内，旨在提高效率，优先级，资源管理 和生产力，并最大限度地提高项目和核心之间的协同作用的机会。 其次，行政和数据分析核心将促进各种预算和业务 与PPG相关的要求。PPG得到申办者管理部门的全力支持 研究机构，位于伯明翰的亚拉巴马大学，和研究机构，爱荷华州大学。三是 管理和数据分析核心将为生物储存库提供存储样本的基础设施， 数据，以促进未来的协同和合作研究与国家的最先进的数据管理系统。 最后，行政核心将为每个项目提供生物统计和生物信息学专门知识， 以标准化和新颖的方法分析数据。

ADMINISTRATIVE AND DATA ANALYTICS CORE A SUMMARY The primary goal of the Administrative and Data Analytics Core is to enhance the research environment and infrastructure in pursuit of building on the strong synergy between Project Leaders, Core Directors, and all investigators to ensure cost effective management and integration of the goals of the PPG. The Program Project Grant funding mechanism is designed to enhance collaborative research and dissemination of new information that would otherwise not occur. The Administrative and Data Analytics Core has four major aims or responsibilities. The first is to foster scientific progress and coordination among the various projects and cores, including professional development and expansion of ideas. This includes coordination of scientific activities, communication, and travel for the external advisory committee members, organizing and overseeing regular scientific meetings of the entire research team. These services will be available to all investigators participating within the framework of the PPG and are designed to improve efficiency, prioritization, resource management and productivity of the individual projects and maximize the opportunity for synergism among projects and cores. Secondly, the Administrative and Data Analytics Core will facilitate the various budgetary and business requirements associated with the PPG. The PPG has the full support of the administration of the sponsor institution, University of Alabama at Birmingham, and subcontract institution, University of Iowa. Thirdly, the Administrative and Data Analytics Core will provide the infrastructure for a Biorepository to store samples and data to facilitate future synergistic and collaborative studies with a state-of-the-art data management system. Finally, the Administrative Core will provide biostatistical and bioinformatics expertise for each of the projects to analyze data in standardized and novel approaches.