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Administrative and Data Analytics Core A

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
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-02-15 至 2028-01-31

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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.
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