Center for Rehabilitation Research Using Large Datasets

使用大数据集的康复研究中心

• 批准号: 8287666
• 负责人: KENNETH J. OTTENBACHER
• 金额: $ 80.11万
• 依托单位: UNIVERSITY OF TEXAS MED BR GALVESTON
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-03 至 2015-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8287666
• 关键词: Buffaloes; Chicago; Clinical; Clinical Research; Collaborations; Complex; Data; Data Analyses; Data Set; Directories; Education; Employment; Faculty; Fostering; Funding; Goals; Human Resources; Information Systems; Institutes; Institution; Medical; NCI Scholars Program; Outcomes Research; Pilot Projects; Policies; Published Directory; Recording of previous events; Rehabilitation Outcome; Rehabilitation Research; Rehabilitation therapy; Research; Research Design; Research Personnel; Research Training; Resources; Surveys; Texas; Training; Training Programs; Training and Education; Universities; Visit; disability; evidence base; experience; interdisciplinary collaboration; investigator training; programs; rehabilitation science; skills; statistics

The PIs propose to establish the Center for Rehabilitation Research using Large Datasets. The goal of the Center is to build research capacity by increasing the quantity and quality of rehabilitation research using large administrative and research datasets. To accomplish this goal, the PIs will train investigators, develop data directories, support pilot studies, and facilitate interdisciplinary collaborative research designed to advance rehabilitation science, inform policy, and contribute to evidence-based rehabilitation practice. Objectives: 1. Develop Education and Training Programs. The Center will provide education, training, and resources to rehabilitation investigators regarding how to identify, access, manage, analyze, interpret and disseminate information from research and administrative datasets relevant to rehabilitation. 2. Support Pilot Studies. The Center will provide pilot funding to help investigators conduct studies using large datasets containing information related to rehabilitation outcomes. These studies will provide practical experience regarding how to manage, analyze and interpret data from administrative, survey and research datasets. 3. Facilitate Collaboration. The Center will facilitate collaboration among investigators with clinical experience and researchers with expertise in analyzing large complex datasets. Interdisciplinary collaboration will be emphasized in education, training and the pilot studies, and fostered through a visiting scholars program. These objectives will be achieved by a program of activities supported through an institutional consortium involving the Division of Rehabilitation Sciences at the University of Texas Medical Branch, the Center for Rehabilitation Outcomes Research at the Rehabilitation Institute of Chicago, the Employment and Disability Institute and Program in Disability Statistics at Cornell University, and the Uniform Data System for Medical Rehabilitation at the University at Buffalo. The faculty and key personnel at these institutions have a history of collaborative research and training and the expertise to accomplish the Center goal.

PI建议使用大型数据集建立康复研究中心。该中心的目标是通过使用大型行政和研究数据集提高康复研究的数量和质量来建立研究能力。为了实现这一目标，PI将培训研究人员，开发数据目录，支持试点研究，并促进旨在推进康复科学，为政策提供信息，并为循证康复实践做出贡献的跨学科合作研究。 目的： 1.制定教育和培训计划。该中心将提供教育，培训和资源，以康复研究人员就如何识别，访问，管理，分析，解释和传播有关康复的研究和行政数据集的信息。 2.支持试点研究。该中心将提供试点资金，帮助研究人员使用包含康复结果相关信息的大型数据集进行研究。这些研究将提供关于如何管理、分析和解释来自行政、调查和研究数据集的数据的实际经验。 3.促进协作。该中心将促进具有临床经验的研究人员和具有分析大型复杂数据集专业知识的研究人员之间的合作。将在教育、培训和试点研究中强调跨学科合作，并通过访问学者计划促进跨学科合作。 这些目标将通过一个机构联合体支持的活动方案来实现，该联合体包括得克萨斯大学医学分支的康复科学司、芝加哥康复研究所的康复结果研究中心、康奈尔大学的就业和残疾研究所和残疾统计方案以及布法罗大学的医疗康复统一数据系统。在这些机构的教师和关键人员有合作研究和培训的历史和专业知识，以实现中心的目标。