Clinical & Translational Tools and Resources (CTTR) Core

临床

• 批准号: 10621739
• 负责人: ROBERT J ADAMS
• 金额: $ 34.79万
• 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 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10621739
• 关键词: Acceleration; 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; Databases; Delaware; Development; Disparate; Ensure; Experimental Designs; Feasibility Studies; Funding; Future; Generations; Glossary; Goals; Guidelines; Health Occupations; Health Sciences; Health protection; Heart; Home; Hospitalization; Human; Image; Impairment; Individual; Informatics; Infrastructure; International; Intervention; 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; 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; eHealth; 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 调查员。核心的核心将是一个强大的新研究工具——Stroke 综合多学科数据库（CMD）。除了包含笔画类型和 招募参与者所需的残疾状况，来自第一阶段建立的登记册，称为 RESTORE（STrOke REcovery 的注册表），CMD 将成为个人执行操作时产生的所有数据的所在地 参与 COBRE 领域内的任何研究。例如，CMD 将包括结果 从 QBAR Core 中收集的数据集中提取的度量以及完整的数据时间序列 （例如，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方案以及来自结构的神经影像数据 或神经影像核心中的功能性 MRI 扫描）。 CMD 将成为一个安全、支持查询的研究门户 具有所有 COBRE 研究人员均可访问的巨大数据共享能力。通过强大的接口 南卡罗来纳州临床与转化研究所 (SCTR)，CTTR 有四个互补的角色： 代表核心目标： 1) 招聘和保留——招募大量具有良好潜力的人群 参与者； 2) 生物医学信息学 – 继续开发安全的注册表和数据库，提供以下能力 根据特定特征查询参与者池并检索广泛的多学科数据集 对符合搜索条件的参与者进行测量； 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；和（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 资金将支持 中风领域国际公认的临床医生兼研究员，担任核心主任；专家 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和 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。使用先进的信息学工具将多源数据集成到 CMD 中 生物统计分析将为未来中风康复研究提供独特的研究资源：1) 能够根据具体特征对每项科学研究的合适候选人进行高级搜索； 2） 为手稿和试点数据生成提供数据挖掘途径，以增加研究者和实习生的数量 生产率; 3) 在整个 CMD 分析流程中嵌入生物统计和数据分析专业知识。 我们预计 CMD 将成为南卡罗来纳州 MUSC 以及所有成员的独特研究资源 对中风康复感兴趣的研究和公共社区。