Core C: Data Management and Statistical Core

核心C：数据管理与统计核心

• 批准号: 10261111
• 负责人: Kelly Marie Bakulski
• 金额: $ 36.51万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10261111
• 关键词: Alzheimer' s Disease; Alzheimer' s disease related dementia; Applications Grants; Area; Big Data; Bioinformatics; Biological Markers; Characteristics; Clinical; Collaborations; Communication; Communities; Complex; Consultations; Custom; Data; Data Analyses; Data Collection; Data Security; Database Management Systems; Databases; Development; Discipline; Ensure; Epidemiology; Exposure to; Faculty; Funding; Generations; Genetic; Genomics; Goals; Grant; Health Insurance Portability and Accountability Act; Institutes; Institution; Institutional Review Boards; International; Knowledge; Link; Machine Learning; Magnetic Resonance Imaging; Measures; Methods; Michigan; Neuropsychology; Operations Research; Participant; Pathologic; Patient Recruitments; Phenotype; Prevention; Procedures; Process; Proteomics; Reproducibility; Research; Research Personnel; Risk Factors; Scientist; Secure; Seminal; Statistical Data Interpretation; Statistical Models; Techniques; Technology; Telemedicine; Time; Training; Training Support; Visit; Work; base; cohort; complex data; data integration; data integrity; data management; data pipeline; data sharing; data visualization; design; education research; educational atmosphere; electronic data; environmental enrichment for laboratory animals; experience; flexibility; imaging biomarker; improved; innovation; investigator training; meetings; member; multiple data sources; multiple omics; neuroimaging; neuroimaging marker; neuropathology; next generation; outreach; polygenic risk score; query tools; skills; statistics; training opportunity; user-friendly

ABSTRACT – CORE C: DATA MANAGEMENT AND STATISTICAL CORE Research on prevention and treatment of heterogeneous Alzheimer’s disease and related dementias (ADRD) requires knowledge and information that varies by domain, scale and time. Thus, meeting the challenge of ADRD necessitates big data integrated across disciplines, shared data and collaboration across the Michigan Alzheimer’s Disease Research Center (MADRC) and the entire ADRC network, deployment of appropriate statistical models, and training of scientists in data methods and statistics. The MADRC Data Management and Statistical Core (DMSC) will continue to meet these critical needs as it oversees data and statistical analyses for the MADRC. Data types include clinical/neuropsychological measures, participant recruitment/engagement metrics, genetics, neuropathologic measures, neuroimaging, and biomarker data that will be integrated by the DMSC. The DMSC will continue to ensure that the data meet enhanced Health Insurance Portability and Accountability Act (HIPAA) compliance and National Institute Standards and Technology (NIST) safeguards, IRB compliance and data security. The DMSC works closely with the Research Education Component (REC) to assist, train and support junior faculty members in becoming independent investigators by providing an enriched learning environment to increase their statistical and research skills. The overarching goals of the DMSC are to integrate, share, and scale data through reproducible pipelines, guide data analyses, and train investigators in these processes. Corresponding to these areas of importance, the DMSC proposes five Specific Aims: Aim 1: Provide an automated, user friendly, integrated, and secure data collection and management platform; Aim 2: Provide accessible, integrated, and informative big data and summary scores for MADRC research needs; Aim 3: Share data, pipelines, and analytic expertise with NACC and related Centers; Aim 4: Provide data analysis support and consultation at every stage of the research process; Aim 5: Provide an enriched environment for MADRC investigators to expand their data visualization, analytical, and statistical knowledge. The DMSC will enhance the comprehensive and state-of-the-art data generated by the MADRC Cores by informing streamlined data collection and data integration across Cores, our three institutions, and with the NACC. In the initial funding period, we succeeded in building a reproducible database platform that combined historic cohort information with new longitudinal participant information. We will expand our activities to support two new Cores (Biomarker and Neuroimaging) and we will support new and ongoing research operations. DMSC activities will enhance research collaboration and analytic training across the community of ADRD researchers. With our highly experienced team, the DMSC is exceptionally well-equipped to ensure that the MADRC makes seminal contributions to innovative research, outreach, and training across the region and nationally.

摘要-核心c：数据管理与统计核心