Center for Rehabilitation Research Using Large Datasets

描述(由申请人提供)：私人投资机构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设研究能力。为了实现这一目标，私人投资机构将培训调查人员，开发数据目录，支持试点研究，并促进跨学科合作研究，旨在促进康复科学，为政策提供信息，并促进以证据为基础的康复实践。目标：1.制定教育和培训计划。该中心将向康复调查人员提供教育、培训和资源，帮助他们识别、获取、管理、分析、解释和传播与康复相关的研究和行政数据集中的信息。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与康复结果相关的信息的大型数据集进行研究。这些研究将为如何管理、分析和解释来自行政、调查和研究数据集的数据提供实践经验。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来实现，该联合体包括德克萨斯大学医学分校康复科学部、芝加哥康复研究所康复结果研究中心、康奈尔大学就业和残疾统计研究所和项目以及布法罗大学医疗康复统一数据系统。这些机构的教职员工和关键人员都有合作研究和培训的历史，并拥有实现中心目标的专业知识。 公共卫生相关性：传统上，康复调查人员接受了临床研究方面的培训，大多数人缺乏必要的技能和经验，无法使用大型数据集进行研究，并涉及二次数据分析。该中心的目的是提高利用大型行政和研究数据集进行和传播研究的研究能力。

DESCRIPTION (provided by applicant): 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. PUBLIC HEALTH RELEVANCE: Traditionally, rehabilitation investigators have been trained in clinical research and most lack the necessary skills and experience to conduct research using large datasets and involving secondary data analysis. The purpose of the Center is to increase research capacity to conduct and disseminate research using large administrative and research datasets.