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的摘要 数据管理和统计（DMS）核心将为生物医学信息提供研究专业知识 数据库互操作和统计咨询，以提高阿尔茨海默氏病研究的质量 由耶鲁ADRC和会员研究人员进行。 DMS核心将为 共享和集成潜水员类型的数据和软件工具，以跨核心使用。我们将继续进入， 临床核心的入学率，评估和 所有参与者的后续行动。同样，我们将协作管理，集成和分析组织和生物流体 神经病理学和生物标志物核的样本和数据，以及由 成像核心。 DMSC将通过创建和维护REDCAP数据库来支持外展核心 跟踪所有对参加临床研究兴趣并跟踪外展活动的人 和参与活动。此外，DSMC将在国家阿尔茨海默氏症协调中心工作 （NACC）要继续有效的数据交换，请支持新的NACC程序（全局唯一标识符 GUID）和计划，并解决NACC查询。全面的统计支持（包括研究设计， 将为与该研究相关的研究提供实施，数据分析和方法开发） 耶鲁大学重要的是，DSMC将根据原则教育研究人员，学员和初级教师 使用统计分析方法。 DSMC的这些活动将确保可靠的数据 整个耶鲁ADRC的管理和统计分析及其与国家研究的协调 努力。