Core C: Data Management and Statistics Core (DMSC)

核心 C：数据管理和统计核心 (DMSC)

• 批准号: 10264190
• 负责人: kewei chen
• 金额: $ 35.59万
• 依托单位: ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-05 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10264190
• 关键词: Accountability; Address; Alleles; Alzheimer disease prevention; Alzheimer' s Disease; Alzheimer' s disease related dementia; Applications Grants; Arizona; Artificial Intelligence; Big Data; Biological Availability; Blood specimen; Brain; Brain imaging; Clinical Trials; Cohort Studies; Collaborations; DNA; Data; Databases; Detection; Development; Diagnosis; Discipline; Dose; Ensure; Evaluation; Goals; Grant; Image; Image Analysis; Internet; Location; Machine Learning; Manuscripts; Mathematics; Mentorship; Methods; Monitor; Participant; Performance; Pilot Projects; Policies; Preparation; Prevention therapy; Procedures; Productivity; Reporting; Research; Research Personnel; Research Training; Resources; Role; Sampling; Secure; Services; Site; Statistical Data Interpretation; Students; Testing; Time; Training; Training Support; Update; Work; analytical tool; blood-based biomarker; career development; catalyst; data anonymization; data harmonization; data management; data mining; data sharing; data standards; design; fight against; multidisciplinary; novel strategies; pre-clinical; programs; skills; statistics; success; tool; transmission process; user-friendly

PROJECT SUMMARY/ABSTRACT- DATA MANAGEMENT AND STATISTICS CORE (DMSC) The Data Management and Statistics Core (DMSC) will provide comprehensive, integrated, and continually updated data management for the acquisition, organization, use, and sharing of data from research participants in the Arizona ADRC, timely and fully compliant transmission of ADRC, affiliated APOE, Brain and Body Donation Programs (BBDP) and pending NIA supported APOE4/APOE2 Allelic Dose Cohort Study UDS data, brain images and other data to NACC, work with NCRAD to provide coordinated blood sample and DNA sample sharing reports, and provide monthly and as-needed metrics reports to our ADRC Cores and REC to help monitor and optimize their performance. It will also provide high quality computational, mathematical, big data, machine- learning including artificial intelligence (AI), data-mining, data-harmonization, image-analysis, and statistical data analysis expertise, services, mentorship, training, and support to researchers, Developmental and Pilot Project applicants, REC Fellows, students and collaborators, helping them to design and inform the analysis and statistical power of their studies and clinical trials, analyze and interpret their data and findings, and prepare research abstracts, manuscripts, and grant applications. It will continue to develop, implement, test and support the proper use of new computational, mathematical, statistical, big data, machine learning, AI, data mining, data harmonization, and image analysis tools, and new approaches to the use of blood-based biomarker (BBB) data. Our Data Management Program will ensure the accuracy, completeness and timely submission of fully compliant data and images from the ADRC, its Affiliated Programs and pending NIA-supported APOE4/APOE2 Allelic Dose Cohort Study; ensure user-friendly access to, and appropriate use of anonymized data and available biological samples for researchers inside and outside of Arizona, provide relevant reports for the ADRC's Cores and REC, help monitor and optimize their performance, and act as a catalyst for new collaborations. It will provide the secure web tools needed to enter standardized data at each of our ADRC sites and submit queries from our different locations. Our Statistics Program has assembled a highly coordinated, close-working expert team to address the analytical, statistical, and career development needs of researchers, trainees, and collaborators from a wide range of disciplines, ADRC organizations, and other programs. It will help them determine the design, size and statistical power of their studies, analyze data, interpret findings, use publicly available data, contribute to the preparation of grants, abstracts and manuscripts, and develop their analytical skills. It will provide information about available ADRC and Affiliated Program data and samples and support the productive use of data and/or samples from NACC, NCRAD, ADNI, AMP-AD, ADGC, ADSP, API, and other research programs. The DSMC will work closely with our ADRC leaders, Cores, REC, and RCMAR colleagues, other ADRCs. It will provide mentorship, support and training for Developmental and Pilot Project applicants and REC fellows, including those from diverse backgrounds, achieving its major goals and contributing our ADRC's success.

项目总结/摘要-数据管理和统计核心（DMSC） 数据管理和统计核心（DMSC）将提供全面、集成和持续的 更新数据管理，用于从研究参与者处获取、组织、使用和共享数据 在亚利桑那州ADRC，及时和完全符合ADRC的传输，附属APOE，大脑和身体捐赠 计划（BBDP）和待批准的NIA支持的APOE 4/APOE 2等位基因剂量队列研究UDS数据，脑 与NCRAD合作，提供协调一致的血液样本和DNA样本 共享报告，并向我们的ADRC核心和REC提供月度和按需指标报告，以帮助监控 并优化其性能。它还将提供高质量的计算，数学，大数据，机器- 学习包括人工智能（AI）、数据挖掘、数据协调、图像分析和统计数据 分析专业知识，服务，指导，培训和支持研究人员，发展和试点项目 申请人，REC研究员，学生和合作者，帮助他们设计和通知分析， 他们的研究和临床试验的统计能力，分析和解释他们的数据和发现，并准备 研究摘要、手稿和资助申请。它将继续开发、实施、测试和支持 正确使用新的计算，数学，统计，大数据，机器学习，人工智能，数据挖掘，数据 协调和图像分析工具，以及使用基于血液的生物标志物（BBB）数据的新方法。 我们的数据管理计划将确保准确性，完整性和及时提交完全符合 数据和图像来自ADRC、其附属项目和待定的NIA支持的APOE 4/APOE 2等位基因剂量 队列研究;确保用户友好地访问和适当使用匿名数据和可用的生物 为亚利桑那州内外的研究人员提供样本，为ADRC的核心和REC提供相关报告， 帮助监控和优化其性能，并作为新合作的催化剂。其将提供该 在我们的每个ADRC站点输入标准化数据所需的安全网络工具，并从我们的 不同的地点我们的统计计划已经组建了一个高度协调，密切合作的专家团队， 满足研究人员、受训人员和合作者的分析、统计和职业发展需求 来自广泛的学科，ADRC组织和其他计划。它将帮助他们确定设计， 他们研究的规模和统计能力，分析数据，解释发现，使用公开的数据， 准备赠款，摘要和手稿，并发展他们的分析能力。它将提供 有关可用的ADRC和附属计划数据和样本的信息，并支持生产性使用 来自NACC、NCRAD、ADNI、AMP-AD、ADGC、ADSP、API和其他研究计划的数据和/或样本。 DSMC将与我们的ADRC领导人、Cores、REC和RCMAR同事以及其他ADRC密切合作。它将 为发展和试点项目申请人以及REC研究员提供指导、支持和培训， 包括来自不同背景的人，实现其主要目标，并为我们的ADRC的成功做出贡献。