Data Management Core

数据管理核心

基本信息

批准号：
9921657
负责人：
Heather Gwynn Allore
金额：
$ 46.06万
依托单位：
YALE UNIVERSITY
依托单位国家：
美国
项目类别：
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/9921657
关键词：
Aging Alzheimer&apos 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

项目摘要

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大学 ADRC 和附属研究人员进行，DMS 核心将为以下领域创建强大的基础设施。共享和集成不同类型的数据和软件工具以供跨核心使用。对临床核心的注册、评估和生成的数据进行质量控制、管理和分析同样，我们将协作管理、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影像数据成像核心。DMSC 将通过创建和维护 RedCap 数据库来支持外展核心。跟踪所有表示有兴趣参与临床研究的个人，并跟踪外展活动此外，DSMC 还将与国家阿尔茨海默病协调中心合作。 (NACC) 继续有效地交换数据，支持新的 NACC 程序（全球唯一标识符 GUID）和举措，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）将用于与重要的是，DSMC 将为教育工作者、实习生和初级教师提供原理和知识方面的教育。 DSMC 的这些活动共同使用统计分析方法将确保可靠的数据。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。