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 毛绒调查员。核心的核心将是一种强大的新研究工具，即中风 全面的多学科数据库（CMD）。除了包含诸如中风类型的信息和 招募参与者所需的残疾状况，该状态来自第一阶段建立的注册表 还原（中风恢复注册表），CMD将是当个人时生成的所有数据的家 参与毛因域内的任何研究/IE。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措施 （例如，来自行为测量的神经力学数据，例如步态分析，神经生理学数据 大脑刺激核心中的经颅磁刺激方案，以及从结构的神经成像数据 或在神经影像核中的功能性MRI扫描）。 CMD将是一个安全的，具有查询的研究门户 所有毛绒研究人员都可以访问数据共享的大量能力。通过与 南卡罗来纳州临床与转化研究所（SCTR），CTTR有四个完整的角色 代表核心目的：1）招聘和保留 - 招募大量特征的潜力 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 根据特定特征查询参与者的池并检索一组广泛的多学科 符合搜索标准的参与者的措施； 3）生物统计支持 - 提供强大的生物统计学 分析和挖掘丰富的数据集的基础架构，并支持实验设计和数据分析； （4） 指导 - 提高毛绒研究人员的研究技能，以进行高度翻译的机制 - 基于中风恢复研究和神经调节的研究。毛to基金将支持 在中风领域的国际认可的临床研究者担任核心主任；专家 监督信息基础设施的生物医学信息；生物统计学方法的专家 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。将多源数据与高级信息工具集成到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） 通过特定特征为每种科学研究提供适当的候选者的高级搜索； 2） 为手稿和飞行员数据生成提供数据挖掘的途径，以增加调查员和受训者 生产率; 3）嵌入整个CMD分析管道中的生物统计学和数据分析专业知识。 我们设想CMD将成为MUSC，南卡罗来纳州和所有成员的独特研究资源 对中风恢复感兴趣的研究和公共社区。