South Texas Alzheimer's Disease Center Data and Statistical Management Core

南德克萨斯阿尔茨海默病中心数据和统计管理核心

基本信息

批准号：
10270730
负责人：
Meredith Nahm Zozus
金额：
$ 20万
依托单位：
UNIVERSITY OF TEXAS HLTH SCIENCE CENTER
依托单位国家：
美国
项目类别：
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/10270730
关键词：
Alzheimer&apos s Disease Alzheimer&apos s Disease Core Center Alzheimer&apos s disease related dementia Archives Automation Bioinformatics Biological Markers Clinical Clinical Data Clinical Informatics Clinical Research Collaborations Collection Communities Data Data Analyses Data Collection Data Science Data Storage and Retrieval Decentralization Development Doctor of Philosophy Electronic Health Record Ensure Etiology Faculty Future Genetic Goals Health Heterogeneity Hispanics Image Informatics Information Systems Infrastructure Institution Investigation Machine Learning Maintenance Mentors Methods Monitor Multicenter Studies Neurosciences Nuclear Pore Complex Phase Population Population Study Procedures Process Quality Control Reporting Research Research Design Research Personnel Sampling Services Site South Texas Statistical Data Interpretation Statistical Methods System Testing Time Training United States National Institutes of Health Update Work advanced system clinical practice data acquisition data cleaning data dictionary data exchange data handling data harmonization data integration data management data quality data sharing data standards data submission design early-career faculty experience information highway interoperability multiple data sources multiple omics neuroimaging neuropathology next generation operation outcome prediction outreach personalized intervention programs recruit sample collection statistics

项目摘要

The Data Management and Statistics Core (DMSC) will support the South Texas Alzheimer disease Center (STAC) with an integrated analytic information system. It has two core leads in this resubmission, a Chair of Clinical Informatics with experience in multisite collaborations, Meredith Zozus, PhD and a biostatistician, Chen Pin Wang, PhD. It includes faculty and staff who are clinical informaticians, biostatisticians, genetic statisticians, bioinformaticians, machine learning experts. The DMSC will provide comprehensive expertise, infrastructure and services for data collection, use, analysis and sharing. It provides an information highway between the STAC Cores through advanced infrastructure for daily acquisition of data and real-time exchange and use of that data. This is accomplished through decentralized data collection, centralized data integration and storage, and decentralized data use across sites and STAC cores. This information highway is built on the Informatics Data Exchange and Acquisition System (IDEAS) platform that has supported diverse multicenter studies for 16 years and is integrated with systems in use by STAC cores such as REDCap - used by all cores, especially the clinical, outreach and population neuroscience cores (CC, OREC and PNC), Freezerworks - used by the Biomarker and Neuropathology Cores (BC and NPC) and the Extensible Neuroimaging Archive Toolkit (XNAT) - managed by the imaging core (IC). IDEAS was specifically designed to integrate disparate data from multiple sources, collection points, including maintaining associations with multi-omics platforms (GMC). Cutting-edge informatics support extends to data exchange with Electronic Health Records (EHRs) such as extraction of data and facilitating referrals to the CC and NPC. Thus, information collected in one core is available to another when needed and will be used across STAC to trigger automated processes controlling data quality and process fidelity across STAC. Statistical methods will leverage extensive faculty expertise in heterogeneity characterization, outcome prediction, bioinformatics and multi-omics approaches. DMSC will support the PNC in harmonization of data from high-value Hispanic population studies, and will support STAC with curated data, sample tracking, maintaining and updating data dictionaries to support submission of data, images or samples to NACC, NCRAD and NIGADS. The aims of the DMSC are: AIM 1: Leverage Data to Optimize Key STAC Processes: Provide advanced system connectivity, automation and decision support to optimize and align focus on recruitment, retention and completeness of data and sample collection. AIM 2: Collect and Share Quality Data: Apply rigorous collection and management methods across cores and projects to ensure that data meet NACC requirements and support study conclusions and reuse. AIM 3: Provide State-of-the-Art Statistical Methods and Support: Support STAC Cores and projects with deep expertise in study design, statistical monitoring, data analyses, and result reporting. AIM 4: Educate the Next Generation of Data Savvy ADRD Researchers: Provide training and mentoring in ADRD relevant informatics and data science for STAC trainees, investigators.

数据管理和统计核心 (DMSC) 将支持南德克萨斯阿尔茨海默病中心 (STAC) 具有集成的分析信息系统。此次重新提交有两名核心领导，一位是具有多站点协作经验的临床信息学 Meredith Zozus 博士和生物统计学家 Chen 王品，博士。它包括临床信息学家、生物统计学家、遗传统计学家、生物信息学家、机器学习专家。 DMSC 将提供全面的专业知识、基础设施和数据收集、使用、分析和共享的服务。它在 STAC 之间提供了一条信息高速公路核心通过先进的基础设施进行日常数据采集以及实时交换和使用该数据。这是通过分散的数据收集、集中的数据集成和存储以及跨站点和 STAC 核心的分散数据使用。这条信息高速公路建立在信息学数据之上交换与采集系统 (IDEAS) 平台，16 年来一直支持各种多中心研究并与 STAC 核心使用的系统集成，例如 REDCap - 所有核心都使用，特别是临床、外展和人口神经科学核心（CC、OREC 和 PNC）、Freezerworks - 由 Biomarker 和神经病理学核心（BC 和 NPC）和可扩展神经影像存档工具包 (XNAT) - 由管理成像核心（IC）。 IDEAS 专门设计用于集成来自多个来源的不同数据，收集点，包括维持与多组学平台 (GMC) 的关联。尖端信息学支持扩展到与电子健康记录 (EHR) 的数据交换，例如提取数据和为向中央委员会和全国人大转介提供便利。因此，当一个核心收集的信息可供另一个核心使用时，需要并将在 STAC 中使用来触发控制数据质量和流程保真度的自动化流程穿过 STAC。统计方法将利用丰富的教师在异质性表征方面的专业知识，结果预测、生物信息学和多组学方法。 DMSC 将支持 PNC 进行协调来自高价值西班牙裔人口研究的数据，并将通过整理数据、样本跟踪、维护和更新数据字典，以支持向 NACC、NCRAD 提交数据、图像或样本和尼加德。 DMSC 的目标是：目标 1：利用数据优化关键 STAC 流程：提供先进的系统连接、自动化和决策支持，以优化和调整招聘重点，数据和样本收集的保留和完整性。目标 2：收集和共享质量数据：应用跨核心和项目的严格收集和管理方法，确保数据符合 NACC 要求并支持研究结论和重用。目标 3：提供最先进的统计方法和支持：支持 STAC 核心和项目，在研究设计、统计监测、数据方面拥有深厚的专业知识分析和结果报告。目标 4：教育下一代精通数据的 ADRD 研究人员：为 STAC 学员、研究人员提供 ADRD 相关信息学和数据科学方面的培训和指导。