Sample and Data Management Core

样本和数据管理核心

• 批准号: 9904684
• 负责人: Shesh N. Rai
• 金额: $ 8.36万
• 依托单位: UNIVERSITY OF LOUISVILLE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9904684
• 关键词: Animals; Annual Reports; Archives; Basic Science; Bioinformatics; Biological; Biometry; Biostatistical Methods; Cataloging; Catalogs; Clinical Investigator; Clinical Research; Clinical Trials; Collaborations; Collection; Communities; Consultations; Continuing Education; Data; Data Analyses; Development; Dimensions; Disease; Educational workshop; Elements; Ensure; Environment; Environmental Exposure; Evaluation; Experimental Designs; Exposure to; Faculty; Fostering; Future; Goals; Hazardous Chemicals; Hazardous Substances; Health; Human Resources; Individual; Journals; Metabolism; Methods; Modeling; Outcome; Population Analysis; Postdoctoral Fellow; Preparation; Prevention; Procedures; Productivity; Protocols documentation; Publications; Records; Reproducibility; Research; Research Activity; Research Design; Research Personnel; Resources; Risk; Risk Assessment; Sampling; Scientist; Services; Signal Recognition Particle; Source; Specimen; Statistical Data Interpretation; Statistical Methods; Students; Superfund; System; Technology; Testing; Tissues; Toxic effect; Training; Translational Research; Universities; Work; base; biobank; cardiometabolism; career development; cohesion; cohort; data archive; data exchange; data management; design; disorder risk; education resources; efficacy testing; epidemiology study; experience; experimental analysis; graduate student; innovation; meetings; member; novel; operation; pollutant; preclinical study; programs; quality assurance; radio frequency; repository; statistical service; tool; usability

ABSTRACT The primary objective of the Sample and Data Management Core (SDMC) is to provide support to each of the four projects of the Louisville Superfund Center. 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 samples and 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. The Core 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, for estimating cardiometabolic disease risk in exposed populations and for the analysis and evaluation of exposures and health consequences. In addition, the core will develop novel methods for the analysis of multi-pollutant exposures as they relate to health outcomes. 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.

摘要 样本和数据管理核心（SDMC）的主要目标是为每个 路易斯维尔超级基金中心的四个项目。核心的功能与每个人的需求相匹配 项目和覆盖从协作和日常服务到协议准备的全方位服务， 程序审查和监督。核心将提供两项主要服务： 样本和数据的长期存储和存档;它将协助中心研究者进行统计 分析其结果。核心将确保这些标本的真实性和质量， 这些样本用于长期储存，或根据需要分配样本。内核还将提供科学的 有效和严格的数据统计分析，并支持创新方法的发展，以提高 中心研究人员的基础和转化研究工作。核心将提供最先进的生物统计学 生物信息学专业知识和分析支持。核心生物统计学家还将开发新的统计数据， 方法，如定量风险评估模型，用于估计暴露于 对人口的影响以及对接触和健康后果的分析和评价。另外核心 将开发新的方法来分析与健康结果有关的多种污染物暴露。的 核心将作为一个独特的教育资源，培养研究生，博士后研究员，居民 和初级教师，并与培训和管理核心合作。该核心将允许中心 调查人员容易获得高质量、集中的数据管理和统计服务， 增强中心的组织凝聚力。这一全面和综合的服务允许一个 从项目的初始规划阶段（当统计咨询是 最有利的）贯穿其实施、分析和完成。核心将提供一个稳定的， 促进生物统计学家和研究者之间长期工作关系的学院环境，以及 继续促进实验设计和分析的复杂方法。这方面的生物统计学家 核心人员了解临床研究，并在统计应用方面具有广泛的专业知识， 流行病学调查、临床试验、临床前研究以及预防和控制研究。他们的 与基础科学家和临床研究人员的跨学科互动将为 实验结果的解释，只有当合作者分享相互欣赏时才有可能 问题和问题。