Administrative and Data Analytics Core A

管理和数据分析核心 A

• 批准号: 10555122
• 负责人: Jennifer S Pollock
• 金额: $ 17.17万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-15 至 2028-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10555122
• 关键词: Advisory Committees; Alabama; Bioinformatics; Biometry; Blood Vessels; Businesses; Clinical; Collaborations; Committee Members; Communication; Communities; Consultations; Cost Effective Management; Data; Data Analytics; Data Collection; Data Management Resources; Dedications; Development; Documentation; Ensure; Environment; Experimental Designs; Faculty; Fostering; Funding Mechanisms; Future; Goals; Hypertension; Individual; Infrastructure; Institution; Iowa; Maintenance; Manuscripts; Mentors; Mission; Modification; National Heart, Lung, and Blood Institute; Office of Administrative Management; Policies; Postdoctoral Fellow; Procedures; Productivity; Program Research Project Grants; Progress Reports; Publications; Records; Reproducibility; Research; Research Personnel; Resource Informatics; Resources; Risk; Sampling; Schedule; Scientific Advances and Accomplishments; Scientist; Services; Standardization; Training; Translational Research; Travel; United States National Institutes of Health; Universities; biobank; biological specimen archives; built environment; cardiovascular disorder risk; data dissemination; data handling; data management; design; early life stress; high standard; improved; meetings; member; next generation; novel strategies; power analysis; pre-doctoral; programs; repository; resilience; synergism

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.

管理和数据分析核心摘要 行政和数据分析核心的主要目标是改善研究环境和 寻求在项目负责人、核心总监和所有人员之间的强大协同基础上构建基础设施 调查人员以确保具有成本效益的管理和整合PPG的目标。计划项目 赠款资助机制旨在加强合作研究和传播新信息 否则这种情况就不会发生。管理和数据分析核心有四个主要目标 责任。第一是促进各种项目和核心之间的科学进步和协调， 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差旅，组织和监督定期 整个研究团队的科学会议。这些服务将向所有参与的调查人员提供 在PPG的框架内，旨在提高效率、确定优先顺序、资源管理 提高个别项目的效率和生产力，并最大限度地扩大项目和核心之间协同增效的机会。 第二，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得到了赞助商管理部门的全力支持 阿拉巴马大学伯明翰分校和爱荷华大学分包机构。第三， 管理和数据分析核心将为生物存储库提供存储样本和 利用最先进的数据管理系统，促进今后的协同和协作研究。 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 以标准化和新颖的方法分析数据。