MAPP Research Network

MAPP研究网络

• 批准号: 8775981
• 负责人: J Richard Landis
• 金额: $ 115万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-15 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8775981
• 关键词: Address; Basic Science; Biological Markers; Biometry; Clinical; Clinical Data; Clinical Research; Clinical Sciences; Cluster Analysis; Collaborations; Collection; Communication; Consent Forms; Contracts; Data; Data Analyses; Data Collection; Data Quality; Data Reporting; Database Management Systems; Development; Ensure; Epidemiology; Etiology; Fostering; Goals; Investigation; Leadership; Logistics; Longitudinal Studies; Maintenance; Manuscripts; Methods; Monitor; National Institute of Diabetes and Digestive and Kidney Diseases; Neurology; Online Systems; Outcome; Outcome Measure; Pain Measurement; Pain Threshold; Pattern; Pennsylvania; Phase; Phase II Clinical Trials; Phenotype; Preparation; Procedures; Process; Protocols documentation; Reporting; Research; Research Design; Research Infrastructure; Research Personnel; Research Project Grants; Risk Factors; Schedule; Science; Secure; Series; Services; Site; Specific qualifier value; Specimen; Subgroup; Symptoms; System; Technology; Teleconferences; Time; Tissues; Training; Translational Research; Universities; Update; Urology; Work; Writing; base; biobank; chronic pelvic pain; clinical epidemiology; computerized; data exchange; data management; design; experience; improved; medical schools; meetings; multidisciplinary; neuroimaging; operation; planetary Atmosphere; pressure; programs; protocol development; psychosocial; public health relevance; quality assurance; repository; research study; tool; urologic; web site; working group

DESCRIPTION (provided by applicant): This is an application from the Center for Clinical Epidemiology and Biostatistics (CCEB) at the University of Pennsylvania, Perelman School of Medicine to continue to serve as the Data Coordinating Core (DCC) for the Multi-disciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network. This proposal brings together a highly experienced DCC team, currently supporting the NIDDK's MAPP Research Network (http://www.mappnetwork.org), including urology, neurology and pain measurement, and biostatistics co-investigators with extensive expertise in urologic chronic pelvic pain syndromes (UCPPS), pain measurement and longitudinal methods for multiple outcomes. The DCC will continue to provide biostatistical study design and analysis support, comprehensive data management and research computing services for ongoing and new protocols, selected Discovery Site projects, and close collaboration with the Tissue Analysis & Technology Core (TATC). The specific aims of the DCC are to 1) conduct a Symptom Patterns Study across the MAPP Research Network; 2) provide scientific leadership and coordination in the design and implementation of inter-disciplinary research projects across the MAPP Research Network; 3) provide biostatistical expertise in research designs, outcome measures and analytical strategies for clinical and translational research investigations of UCPPS; 4) provide comprehensive DCC administrative support for the MAPP Research Network, promoting effective communications, coordinating teleconferences, meetings, working groups, and document development and management; 5) collaborate with the Tissue Analysis and Technology Core (TATC) on best practices for data collection, specimen tracking and storage, as well as to support technical processes between the DCC, TATC, and the NIDDK repository; 6) promote network-wide quality assurance standards, practices and tools, including a comprehensive, secure www-based data management system (DMS) for collection and centralized storage of all multi-site study data; 7) support the MAPP Research Network Ancillary Projects, assisting in their design, submission, review and implementation, as well as administration of MAPP network sub-contracts in support of selected goals. The DCC will continue to leverage their considerable biostatistical and scientific expertise, coordinating and project leadership, as well as urological and epidemiological expertise, to promote DCC best practices for the ongoing conduct of clinical and translational science research projects, and design and planning for MAPP Phase II protocols within the MAPP Research Network.

描述(由申请人提供)：这是宾夕法尼亚大学佩雷尔曼医学院临床流行病学和生物统计中心(CCEB)继续担任慢性盆腔疼痛(MAPP)研究网络多学科方法的数据协调核心(DCC)的申请。这项建议汇集了一支经验丰富的DCC团队，目前为NIDDK的MAPP研究网络(http://www.mappnetwork.org)，)提供支持，包括泌尿学、神经病学和疼痛测量，以及生物统计学联合研究员，他们在泌尿外科慢性盆腔疼痛综合征(UCPPS)、疼痛测量和多项结果的纵向方法方面拥有丰富的专业知识。DCC将继续提供生物统计研究设计和分析支持，为正在进行的和新的方案、选定的发现站点项目提供全面的数据管理和研究计算服务，并与组织分析和技术核心(TATC)密切合作。DCC的具体目标是1)在MAPP研究网络中进行症状模式研究；2)在整个MAPP研究网络中设计和实施跨学科研究项目方面提供科学领导和协调；3)为UCPPS的临床和转译研究调查提供研究设计、结果衡量和分析战略方面的生物统计学专业知识；4)为MAPP研究网络提供全面的DCC行政支持，促进有效沟通，协调电话会议、会议、工作组以及文件的编制和管理；5)就数据收集、标本跟踪和储存的最佳做法与组织分析和技术核心(TATC)协作，并支持DCC、TATC和NIDDK储存库之间的技术进程；6)促进全网络质量保证标准、做法和工具，包括一个全面、安全的万维网数据管理系统(DMS)，用于收集和集中存储所有多站点研究数据；7)支持MAPP研究网络辅助项目，协助其设计、提交、审查和实施，以及管理MAPP网络分包合同，以支持选定的目标。疾病预防控制中心将继续利用其丰富的生物统计和科学专长、协调和项目领导以及泌尿科 和流行病学专业知识，以促进临床和转化性科学研究项目的持续开展的DCC最佳实践，以及MAPP研究网络内MAPP第二阶段方案的设计和规划。