Sample and Data Management Core

样本和数据管理核心

• 批准号: 9260443
• 负责人: Shesh N. Rai
• 金额: $ 10.56万
• 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/9260443
• 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; career development; cohesion; cohort; data archive; data management; design; disorder risk; 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.

抽象的 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 项目并涵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。核心将提供两个主要服务：它将建立一个存储库 样品和数据的长期保存和归档；它将协助中心调查人员进行统计 分析他们的结果。核心将确保这些标本的真实性和质量，并准备 这些样品可长期保存，或根据需要分配样品。核心还将科学地提供 对数据进行有效和严格的统计分析，并支持创新方法的开发，以增强 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 以及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 用于估计暴露人群心脏代谢疾病风险的方法，例如定量风险评估模型 人群以及分析和评估暴露和健康后果。此外，核心 将开发新方法来分析与健康结果相关的多污染物暴露。这 核心将作为培训研究生、博士后、住院医师的独特教育资源 和初级教师，并与培训和管理核心合作。该核心将允许中心 调查人员可以轻松获得高质量、集中的数据管理和统计服务，从而 增强中心的组织凝聚力。这项全面且综合的服务允许 或更多生物统计学家从项目的初始规划阶段就参与其中（当进行统计咨询时） 最有益的）贯穿其实施、分析和完成。核心将提供稳定和 促进生物统计学家和研究人员之间长期工作关系的学院环境，以及 继续推广先进的实验设计和分析方法。这个生物统计学家 核心人员了解临床研究，并在统计应用方面拥有广泛的专业知识 流行病学调查、临床试验、临床前研究和预防控制研究。他们的 与基础科学家和临床研究人员的跨学科互动将为研究增添新的维度 对实验结果的解释，只有当合作者相互欣赏时才有可能 的问题和问题。