Data Management Core

数据管理核心

• 批准号: 10431897
• 负责人: Heather Gwynn Allore
• 金额: $ 45.95万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-15 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10431897
• 关键词: Aging; Alzheimer' s Disease; Bioinformatics; Biological Markers; Biological Specimen Banks; Biomedical Computing; Biometry; Clinical; Clinical Research; Computer software; Consult; Data; Data Analyses; Data Analytics; Databases; Development; Education; Educational workshop; Enrollment; Ensure; Evaluation; Faculty; Guidelines; Image; Individual; Infrastructure; Medical Students; Mentors; Methodology; NIH Program Announcements; Neurosciences; Neurosciences Research; Ontology; Participant; Postdoctoral Fellow; Procedures; Progress Reports; Quality Control; Research; Research Design; Research Personnel; Resolution; Sampling; Series; Software Tools; Statistical Data Interpretation; Statistical Methods; System; Tissues; United States National Institutes of Health; Vocabulary; Work; biomedical informatics; clinical biomarkers; computational neuroscience; data exchange; data infrastructure; data integration; data management; data sharing; data standards; data tools; design; education research; falls; follow-up; graduate student; innovation; interest; meetings; method development; neuroimaging; neuropathology; neuroproteomics; novel; outreach; recruit; statistics; webinar

SUMMARY OF DATA MANAGEMENT AND STATISTICS CORE The Data Management and Statistics (DMS) Core will provide biomedical informatics research expertise in database interoperation and statistical consulting to enhance the quality of Alzheimer’s Disease research conducted by the Yale ADRC and affiliated investigators. The DMS Core will create robust infrastructure for sharing and integrating diverse types of data and software tools for use across Cores. We will continue entry, quality control, management and analysis of data generated by the Clinical Core’s enrollment, evaluation, and follow-up of all participants. Similarly, we will collaboratively manage, integrate and analyze tissue and biofluid samples and data of the Neuropathology and Biomarker Cores, and neuroimaging data generated by the Imaging Core. The DMSC will support the Outreach Core by creating and maintaining a RedCap database to track all individuals who have expressed an interest in participating in clinical research, and to track outreach and engagement activities. In addition, the DSMC will work the National Alzheimer’s Coordinating Center (NACC) to continue an efficient exchange of data, support new NACC procedures (Global Unique Identifier GUID) and initiatives, and resolve NACC queries. Comprehensive statistical support (including study design, implementation, data analysis, and methodology development) will be provided for research associated with the Yale ADRC. Importantly, the DSMC will educate investigators, trainees, and junior faculty in the principles and use of statistical analysis methodologies. Together these activities of the DSMC will ensure robust data management and statistical analysis throughout the Yale ADRC and its coordination with national research efforts.

数据管理和统计核心摘要 数据管理和统计（DMS）核心将提供生物医学信息学研究专业知识， 数据库互操作和统计咨询，以提高阿尔茨海默病研究的质量 由耶鲁ADRC和附属调查员进行。DMS核心将创建强大的基础设施， 共享和集成各种类型的数据和软件工具，以便在核心之间使用。我们将继续进入， 质量控制、管理和分析临床中心的入组、评价和 所有参与者的后续行动。同样，我们将合作管理，整合和分析组织和生物流体 神经病理学和生物标志物核心的样本和数据，以及由神经病理学和生物标志物核心生成的神经成像数据。 成像核心。DMSC将通过创建和维护RedCap数据库来支持外联核心， 跟踪所有表示有兴趣参与临床研究的个人，并跟踪外展 和参与活动。此外，DSMC将与国家阿尔茨海默氏症协调中心合作， （NACC）继续有效地交换数据，支持新的NACC程序（全球唯一标识符 和倡议，并解决NACC查询。全面的统计支持（包括研究设计， 实施，数据分析和方法开发）将提供与 耶鲁ADRC。重要的是，DSMC将教育研究人员，学员和初级教师的原则和 使用统计分析方法。DSMC的这些活动将共同确保可靠的数据 管理和统计分析整个耶鲁ADRC及其与国家研究的协调 努力