MAPP Research Network

描述（由申请人提供）：这是来自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学中心（CCEB）的申请，继续担任慢性盆腔疼痛（MAPP）研究网络多学科方法研究的数据协调核心（DCC）。该提案汇集了一个经验丰富的DCC团队，目前支持NIDDK的MAPP研究网络（http：www.mappnetwork.org），包括泌尿学，神经学和疼痛测量，以及在泌尿系统慢性盆腔疼痛综合征（UCPPS），疼痛测量和多种结局纵向方法方面具有广泛专业知识的生物统计学共同研究者。DCC将继续为正在进行的和新的方案提供生物统计研究设计和分析支持，全面的数据管理和研究计算服务，选定的Discovery Site项目，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MAPP研究网络中跨学科研究项目的设计和实施中提供科学领导和协调; 3）为UCPPS的临床和转化研究调查提供研究设计，结果测量和分析策略方面的生物统计专业知识; 4）为MAPP研究网络提供全面的DCC行政支持，促进有效的沟通，协调电话会议，会议，工作组以及文件开发和管理; 5）与组织分析和技术核心（TATC）合作，制定数据收集、标本跟踪和存储的最佳实践，以及支持DCC、TATC和NIDDK存储库之间的技术流程; 6）促进网络范围内的质量保证标准、实践和工具，包括一个全面、安全的基于www的数据管理系统（DMS），用于收集和集中存储所有多中心研究数据; 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。DCC将继续利用其丰富的生物统计学和科学专业知识，协调和项目领导，以及泌尿科 和流行病学的专业知识，以促进DCC的最佳做法，为正在进行的临床和转化科学研究项目，并设计和规划MAPP研究网络内的MAPP第二阶段协议。

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.