RC-DMAIC

基本信息

批准号：
10024555
负责人：
Subashan Perera
金额：
$ 17.12万
依托单位：
UNIVERSITY OF PITTSBURGH AT PITTSBURGH
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-09-30 至 2025-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10024555
关键词：
Address Adverse event Aging American Big Data Biological Biometry CXCL14 gene Capsicum Cellular Phone Classification Clinic Visits Clinical Data Cluster Analysis Cohort Studies Communities Complex Computational Biology Computational Technique Computerized Medical Record Data Data Analytics Data Security Development Dimensions Doctor of Philosophy Education Educational workshop Elderly Ensure Equilibrium Faculty Funding Gait Gait speed Goals Grant Health Health Sciences Healthcare Human Resources Informatics Infrastructure Institution Joints Laboratories Leadership Learning Logic Machine Learning Measures Medicine Methodology Methods Mission Modeling Online Systems Peer Review Physical therapy Population Process Progress Reports Publications Quality Control Reproducibility Research Research Design Research Personnel Resource Informatics Resources Services Source System Systems Biology Tablets Techniques Telemedicine Time Training Training Support Update Work adjudication cardiovascular health career cohort complex biological systems cost data access data centers data management data sharing data standards deep learning disability exercise rehabilitation graduate student handheld mobile device improved mobility innovation novel novel strategies outcome forecast predictive modeling professor random forest regression trees response service providers signal processing theories web site

项目摘要

DMAIC Project Summary/Abstract: The overarching goal of the Data Management, Analysis and Informatics Core (DMAIC) is to ensure data and analytic integrity, transparency and reproducibility by continuing to serve as a central source of methodological expertise and a service provider to the researchers of the Pittsburgh Older Americans Independence Center (OAIC). Methodological expertise is most beneficial when provided by a team such as DMAIC familiar with the balance and mobility in aging theme, specialized measures and methods of the OAIC. Our specific aims are to: 1. Meet data management requirements of Pittsburgh OAIC PESC, REC, developmental and external projects. 2. Support quantitative and facilitate qualitative analysis needs of Pittsburgh OAIC projects. 3. Provide informatics expertise to Pittsburgh OAIC projects. 4. Support the training mission of the Pittsburgh OAIC with Pepper Scholars and other trainees. 5. Develop new techniques, as wells as novel application of existing methods to address OAIC-related unmet needs and methodological challenges. 6. Collaborate with other Cores and units within and outside the institution on OAIC theme-related activities. For OAIC pilot and developmental projects, we will fully support the data management and quantitative analysis needs in addition to facilitating access to qualitative and other specialized analytic resources and informatics expertise. We will provide workshops and individualized training for OAIC trainees as well as innovatively involving graduate student researchers in core activities to expand our education mission. We innovate by developing new techniques and novel applications of existing methods to address OAIC theme- related methodological challenges. Our proposed Developmental Project on dynamic prediction modeling is a novel approach to updating prognoses with new information. We will collaborate with others within and outside the institution on OAIC theme-related activities to share and learn from a broader community of colleagues. During the past cycle 2015-2020, the DMAIC provided data management/statistical support to 16 OAIC pilot and developmental projects in addition to external proposals. This extensive support generated findings which were disseminated in over 109 peer reviewed publications and used to obtain an additional $11 million of funding to continue research focused on improving the mobility of older adults. We build on a strong track record of 15 years with stable leadership providing data management and analytical infrastructure, methodological innovation, and supporting the training mission; and will continue to provide these services to the OAIC. We innovatively expanded our services to include machine learning and computational biology to new OAIC priorities and the changing landscape of informatics and big data; access to real-world clinical data; participation in a new telemedicine workgroup; and training on data sharing.

DMAIC项目摘要/摘要：数据管理，分析和信息学的总体目标核心（DMAIC）是通过继续服务来确保数据和分析完整性，透明度和可重复性作为匹兹堡研究人员的方法论专业知识和服务提供商的中心来源年长的美国人独立中心（OAIC）。提供方法论专业知识是最有益的诸如DMAIC之类的团队熟悉衰老主题的平衡和流动性，专业措施和 OAIC的方法。我们的具体目的是： 1。符合匹兹堡OAIC PESC，REC，发展和外部项目的数据管理要求。 2。支持匹兹堡OAIC项目的定量分析需求。 3。为匹兹堡OAIC项目提供信息学专业知识。 4。支持匹兹堡OAIC与胡椒学者和其他学员的培训任务。 5。开发新技术，以及现有方法来解决与OAIC相关的未完成的新型应用需求和方法论挑战。 6.与机构内外的其他核心和单位合作就与OAIC主题相关的活动进行了合作。对于OAIC飞行员和发展项目，我们将充分支持数据管理和定量分析需求除了促进访问定性和其他专业分析资源以及信息学专业知识。我们将为OAIC学员提供讲习班和个性化培训创新的研究生研究人员参与核心活动，以扩大我们的教育任务。我们通过开发新技术和现有方法的新技术来解决OAIC主题 - 相关的方法论挑战。我们提出的有关动态预测建模的发展项目是使用新信息更新预后的新方法。我们将与外部和外部与其他人合作与OAIC主题有关的机构分享和学习更广泛的同事社区。在过去的2015 - 2020年中，DMAIC为16个OAIC飞行员提供了数据管理/统计支持除了外部建议外，还有发展项目。这种广泛的支持产生了发现被传播为109多个同行评审出版物，并用于获得额外的1100万美元继续研究的资金集中在改善老年人的流动性。我们以15年的良好往绩发展，稳定的领导才能提供数据管理和分析基础设施，方法论创新和支持培训任务；并将继续向OAIC提供这些服务。我们创新扩展了我们的服务，包括机器学习和新的OAIC优先事项的计算生物学以及信息学和大数据的不断变化；使用权到现实世界数据；参加新的远程医疗工作组；和数据共享培训。