Clinical & Translational Tools and Resources (CTTR) Core

临床

• 批准号: 10232065
• 负责人: ROBERT J ADAMS
• 金额: $ 35.18万
• 依托单位: MEDICAL UNIVERSITY OF SOUTH CAROLINA
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-02 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10232065
• 关键词: Agreement; American; Behavior assessment; Behavioral; Biological Markers; Biology; Biometry; Biostatistical Methods; Brain; Cell Nucleus; Centers of Research Excellence; Characteristics; Clinical; Clinical Data; Clinical Research; Clinical Trials; Collaborations; Communities; Computerized Medical Record; Consent; Data; Data Analyses; Data Linkages; Data Set; Data Sources; Data Store; Databases; Delaware; Development; Ensure; Experimental Designs; Feasibility Studies; Funding; Future; Generations; Glossary; Goals; Guidelines; Health; Health Occupations; Health Sciences; Heart; Home; Hospitalization; Human; Image; Impairment; Individual; Informatics; Infrastructure; International; Intervention; Lead; Link; Location; Magnetic Resonance Imaging; Manuals; Manuscripts; Measures; Medical History; Mentors; Methodology; Mining; National Institute of Neurological Disorders and Stroke; Nature; Neuromechanics; Neuronal Plasticity; Occupational Therapist; Occupational Therapy; Outcome Measure; Participant; Patient Recruitments; Phase; Physical therapy; Policies; Population; Positioning Attribute; Productivity; Protocols documentation; Recontacts; Records; Registries; Rehabilitation therapy; Reliability of Results; Research; Research Institute; Research Personnel; Resources; Role; Secure; Series; Source; South Carolina; Stroke; Structure; Sum; System; Testing; Time; Transcranial magnetic stimulation; Translating; Translational Research; Validation; acronyms; analysis pipeline; archive data; base; behavior measurement; biomedical informatics; biomedical information system; clinical data warehouse; clinical database; college; data archive; data exchange; data integration; data mining; data reuse; data sharing; design; disability; electronic data; experience; experimental analysis; functional MRI scan; gait examination; improved; informatics infrastructure; informatics tool; interest; meetings; member; multidisciplinary; neuroimaging; neurophysiology; neuroregulation; novel; physical therapist; post stroke; programs; prospective; recruit; research study; skills; sound; stroke recovery; theories; tool; translational study

The Clinical & Translational Tools and Resources Core (CTTR) is designed to serve the clinical research needs of COBRE investigators. The centerpiece of the core will be a powerful new research tool, the Stroke Comprehensive Multidisciplinary Database (CMD). In addition to containing information such as stroke type and disability status necessary to recruit participants, which comes from the registry established in Phase I called RESTORE (REgistry for STrOke REcovery), the CMD will be the home of all data produced when an individual participates in any research study/ies within the COBRE domain. For example, the CMD will include outcome measures extracted from the data sets collected in the QBAR Core as well as the complete data time series (e.g., neuromechanical data from behavioral measurements such as gait analyses, neurophysiological data from transcranial magnetic stimulation protocols in the Brain Stimulation Core, and neuroimaging data from structural or functional MRI scans in the Neuroimaging Core). The CMD will be a secure, query-enabled research portal with vast capacity for data sharing accessible to all COBRE investigators. Through a robust interface with the South Carolina Clinical & Translational Research Institute (SCTR), CTTR has four complementary roles that represent the core aims: 1) Recruitment & Retention – recruit a large population of well-characterized potential participants; 2) Biomedical Informatics – continue to develop a secure registry and database providing the ability to query the pool of participants based on specific characteristics and retrieve an extensive set of multidisciplinary measures in participants who match the search criteria; 3) Biostatistical Support – provide a strong biostatistical infrastructure to analyze and mine the rich data set and support experimental design and data analysis; and (4) Mentoring – enhance the research skills of COBRE investigators to conduct highly translational, mechanism- based studies in stroke recovery research and neuromodulation. COBRE funds will support the efforts of an internationally recognized clinician-researcher in the stroke field who serves as Core Director; an expert in biomedical informatics who oversees the informatics infrastructure; an expert in biostatistical methodologies and clinical trials development; and technical staff. The SCTR Research Coordinator Core will facilitate research coordination and recruitment. The integration of multi-source data into the CMD with advanced informatics tools and biostatistical analyses will provide a unique research resource for future stroke recovery research by: 1) enabling advanced searches for appropriate candidates for each scientific study by specific characteristics; 2) providing an avenue for data mining for manuscripts and pilot data generation to increase investigator and trainee productivity; and 3) embedding biostatistical and data analysis expertise throughout the CMD analyses pipelines. We envision that CMD will be a unique research resource for MUSC, South Carolina, and all members of the research and public communities with interest in stroke recovery.

临床和转化工具和资源核心（CTTR）旨在满足临床研究需求 COBRE的调查员。核心的核心将是一个强大的新的研究工具，中风 综合多学科数据库（CMD）。除了包含诸如笔画类型和 招募参与者所需的残疾状况，来自第一阶段设立的登记处， RESTORE（用于存储细化的注册表），CMD将是当个人 参与COBRE领域内的任何研究。例如，CMD将包括结果 从QBAR核心收集的数据集以及完整的数据时间序列中提取的指标 (e.g.,来自行为测量的神经力学数据，例如步态分析，来自 脑刺激核心中的经颅磁刺激协议，以及来自结构性神经成像数据 或Neuroimaging Core中的功能性MRI扫描）。CMD将是一个安全的、支持查询的研究门户网站 所有COBRE调查人员都可以共享大量数据。通过与 南卡罗来纳州临床和转化研究所（SCTR），CTTR有四个互补的作用， 代表了核心目标：1）招聘和保留-招募大量具有良好特征的潜力的人群 2）生物医学信息学-继续开发安全的注册表和数据库， 根据具体特征查询参与者库，并检索一组广泛的多学科 符合检索标准的参与者的指标; 3）生物统计支持-提供强有力的生物统计 分析和挖掘丰富数据集并支持实验设计和数据分析的基础设施;以及（4） 指导-提高COBRE研究人员的研究技能，以进行高度转化，机制- 基于中风恢复研究和神经调节的研究。COBRE基金将支持 国际公认的中风领域的临床研究人员，担任核心主任; 生物医学信息学，负责监督信息学基础设施;生物统计方法学专家， 临床试验开发;和技术人员。SCTR研究协调员核心将促进研究 协调和招聘。利用先进的信息学工具将多源数据整合到CMD中 生物统计分析将为未来的中风恢复研究提供独特的研究资源：1） 使每个科学研究的适当候选人的特定特征的高级搜索; 2） 为手稿和试点数据生成提供数据挖掘途径，以增加调查员和受训人员的 生产力;和3）在CMD分析管道中嵌入生物统计和数据分析专业知识。 我们设想，CMD将是一个独特的研究资源，为MUSC，南卡罗来纳州，和所有成员的 对中风康复感兴趣的研究和公共社区。