Core B Data Management and Analysis (DMAC)

摘要 此 P42 超级基金申请的统一主题/目标是开发一个以问题为中心的（环境肺） 重金属暴露继发性损伤），以解决方案为导向（生物标志物发现和治疗目标 人体识别；空气和土壤中的缓解/修复）和综合（将生物医学结合在一起） 科学家、工程师、生态学家和社会科学家）研究计划。为了实现这一目标，UAB-SRP 由五个研究项目和五个核心组成。这些研究项目本质上具有复杂的数据 除了严格的研究设计和数据收集方法之外，还需要管理和数据分析需求 生物医学和人类研究所需。数据管理和分析核心 (DMAC) 提供集中式 UAB-SRP研究项目的数据管理支持和生物统计支持以及数据 整合和协作研究。 DMAC 通过提供数据库管理来支持 UAB-SRP 遵守 NIH 法规并通过无缝咨询提供创新统计支持。通过合作 和咨询，DMAC 将为 UAB-SRP 研究人员的实验提供帮助和指导 设计、数据收集、数据管理以及中期和最终统计数据分析。 DMAC 将领导 努力设计一个生物医学和基础科学研究数据库，具有用户友好的数据输入界面、数据 遵循科学数据管理的 FAIR 指导原则进行检索、患者或样本跟踪 管理以及数据集成。我们还将制定程序以确保数据质量、完整性、 保密性和数据共享。 DMAC 将纳入 UAB-SRP 研究项目，包括受训人员，从研究开始到 数据收集、数据管理、数据集成和分析。他们与项目负责人的密切合作 UAB 将帮助确保研究项目拥有适当的生物统计学和数据管理支持，正在使用 适当且新颖的方法，并且研究结果在科学出版物中得到正确解释。

ABSTRACT The unifying theme/goal of this P42 Superfund application is to develop a problem-focused (environmental lung injury secondary to heavy metal exposure), solution-oriented (biomarker discovery and therapeutic target identification in humans; mitigation/remediation in the air and soil) and integrated (bringing together biomedical scientists, engineers, ecologists, and social scientists) research plan. In order to achieve this goal, the UAB-SRP is comprised of five research projects and five Cores. These research projects have inherently complex data management and data analysis needs, in addition to the rigorous study design and data collection methodologies required by biomedical and human studies. The Data Management and Analysis Core (DMAC) provides centralized data management support for the research projects of the UAB-SRP and biostatistics support as well as data integration and collaborative research. The DMAC supports the UAB-SRP by providing database management that is in compliance with NIH regulations and innovative statistical support via seamless consultation. Through collaboration and consultation, the DMAC will provide UAB-SRP investigators with assistance and direction in their experimental design, data collection, data management, and interim and final statistical data analyses. The DMAC will lead the effort to design a biomedical and basic science research database with a user-friendly interface for data entry, data retrieval, and patient or sample tracking following the FAIR guiding principles for scientific data management and stewardship as well as data integration. We will also develop procedures to ensure data quality, integrity, confidentiality, and data sharing. The DMAC will be integrated into the UAB-SRP research projects, including the trainees, from study inception through data collection, data management, data integration, and analysis. Their close partnership with the Project Leaders at UAB will help ensure the research projects have proper biostatistics and data management support, are using appropriate and novel methods, and the study findings are correctly interpreted in scientific publications.