Data Management and Analysis Core

项目总结 样本和数据管理核心(DMAC)的主要目标是提供统计支持和 路易斯维尔大学超级基金研究中心所有组件的数据管理和存储能力 中心(ULSRC)。核心的功能与每个项目的需求相匹配，并涵盖全面的 提供从协作和日常服务到礼宾编制到程序审查和监督的各种服务。这个 CORE将提供两项主要服务：它将建立一个储存库，用于长期存储和存档数据； 它将协助中心调查人员对其结果进行统计分析。核心将保证真实性 和这些样本的质量，并将准备这些样本用于长期储存，或分发样本作为 需要的。核心还将提供科学有效和严格的数据统计分析，并支持 开发创新方法以加强中心的基础和翻译研究工作 调查人员。它将提供最先进的生物统计和生物信息学专业知识和分析支持。堆芯 生物统计学家还将开发新的统计方法，如定量风险评估模型， 多污染物暴露分析和土地利用回归模型用于评估中国心脏代谢性疾病的风险 并用于分析和评估暴露和健康影响。与 其他项目和核心、DMAC、统计学家将通过定义标准(例如，创建 可搜索的数据词典和定义与每个项目相关的变量。在下一个资金周期中，我们将 继续使用这些程序。核心将成为培养研究生的独特教育资源 学生、博士后研究员、住院医生和初级教员，并与培训和 管理核心。该核心将使中心调查人员能够轻松访问高质量的集中化数据 管理和统计事务，从而将加强该中心的组织凝聚力。这 全面和综合的服务允许一名或多名生物统计师从最初的计划开始就参与其中 项目的整个实施、分析和分析阶段(统计咨询最有益) 完成了。核心将提供一个稳定和合作的环境，促进长期的工作关系 生物统计学家和研究人员之间的合作，并继续推动复杂的实验方法 设计和分析。这一核心的生物统计学家对临床研究知识渊博，具有广泛的 在流行病学调查、临床试验、临床前研究和统计应用方面的专业知识 防控研究。他们与基础科学家和临床研究人员的跨学科互动 将为解释实验结果增加一个新的维度，只有当合作者 分享对问题和问题的共同理解。

PROJECT SUMMARY The primary objective of the Sample and Data Management Core (DMAC) is to provide statistical support and data management and storage capabilities to all components of the University of Louisville Superfund Research Center (ULSRC). The functions of the Core are matched to the needs of each project and cover a full range of services from collaboration and routine service to protocol preparation to procedural review and oversight. The Core will provide two main services: it will establish a repository for the long-term storage and archiving of data; and it will assist Center investigators in the statistical analysis of their results. The core will assure the authenticity and quality of these specimens and it will prepare these samples for long-term storage, or dispense samples as needed. The Core will also provide scientifically valid and rigorous statistical analysis of data and support the development of innovative methods to enhance the basic and translational research efforts of Center investigators. It will provide state-of-the-art biostatistics and bioinformatics expertise and analytical support. Core biostatisticians will also develop new statistical methods, such as quantitative risk assessment models, multipollutant exposure analysis, and land-use regression models, for estimating cardiometabolic disease risk in exposed populations and for the analysis and evaluation of exposures and health effects. In collaboration with other projects and cores, DMAC, statisticians will harmonize the data by defining standards (e.g., creating searchable data dictionaries and defining variables relevant for each project. In the next funding cycle, we will continue to use these procedures. The core will serve as a unique educational resource for training graduate students, post-doctoral fellows, residents and junior faculty and in collaboration with the Training and Administration Cores. This Core will allow Center investigators easy access to high quality, centralized data management and statistical services, and thereby will strengthen the organizational cohesion of the Center. This comprehensive and integrated service permits one or more biostatisticians to be involved from the initial planning stage of a project (when statistical consultation is most beneficial) throughout its implementation, analysis and completion. The Core will provide a stable and collegial environment that fosters long-term working relationships between biostatisticians and investigators, and continues to promote sophisticated approaches to experimental design and analysis. The biostatisticians of this Core are knowledgeable about clinical research and have broad expertise in statistical applications for epidemiological investigations, clinical trials, pre-clinical studies, and prevention and control research. Their interdisciplinary interactions with basic scientists and clinical investigators will add a new dimension to the interpretation of experimental results, one that is only possible when collaborators share a mutual appreciation of problems and issues.