Core B Data Management and Analysis (DMAC)

摘要 这个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靶点 人类的识别;空气和土壤的缓解/补救）和综合（将生物医学 科学家、工程师、生态学家和社会科学家）的研究计划。为了实现这一目标，UAB-SRP 由五个研究项目和五个核心组成。这些研究项目有着固有的复杂数据 除了严格的研究设计和数据收集方法外， 生物医学和人类研究所需的。数据管理和分析核心（DMAC）提供集中的 为UAB-SRP和生物统计学支持的研究项目提供数据管理支持， 整合与合作研究。DMAC通过提供数据库管理来支持UAB-SRP， 符合NIH法规，并通过无缝咨询提供创新的统计支持。通过协作 和咨询，DMAC将提供UAB-SRP研究人员的援助和指导，在他们的实验 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，该数据库具有方便用户的数据输入界面， 检索和患者或样本跟踪遵循FAIR科学数据管理指导原则， 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， 保密和数据共享。 DMAC将被纳入UAB-SRP研究项目，包括学员，从研究开始到 数据收集、数据管理、数据集成和分析。他们与项目负责人在 UAB将帮助确保研究项目有适当的生物统计和数据管理支持， 适当和新颖的方法，并在科学出版物中正确解释研究结果。

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.