Limited Competition for Continuation of the MAPP-RN DCC

继续 MAPP-RN DCC 的有限竞争

• 批准号: 10204778
• 负责人: J Richard Landis
• 金额: $ 133.4万
• 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 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10204778
• 关键词: Biological; Biological Specimen Banks; Clinical; Clinical Data; Clinical Sciences; Code; Collaborations; Collection; Communication; Communities; Data; Data Analyses; Data Collection; Data Reporting; Development; Enrollment; Ensure; Fostering; Functional disorder; Funding; Infrastructure; Interdisciplinary Study; Lead; Logistics; Maintenance; Manuscripts; Measures; Mission; Monitor; National Institute of Diabetes and Digestive and Kidney Diseases; Online Systems; Participant; Pattern; Pennsylvania; Phase; Phenotype; Preparation; Prevention; Procedures; Process; Protocols documentation; Reporting; Research; Research Personnel; Research Support; Resources; Sampling; Schedule; Secure; Sensory; Series; Shipping; Site; Specimen; Subgroup; Symptoms; System; Technology; Teleconferences; Testing; Time; Tissues; Training; Translational Research; Universities; Update; Validation; Work; Writing; base; biobank; chronic pelvic pain; clinically significant; computerized; data exchange; data management; data quality; data repository; data sharing; design; diverse data; follow-up; insight; interdisciplinary approach; longitudinal analysis; lower urinary tract symptoms; medical schools; meetings; multidisciplinary; neuroimaging; novel strategies; phenotypic data; psychosocial; quality assurance; urologic; web site; working group

PROJECT SUMMARY The DCC for the MAPP Research Network (MAPP-RN) (http://www.mappnetwork.org/) at the Penn Perelman School of Medicine will continue to support an ambitious, scientific discovery agenda in the proposed MAPP-II Extension. The DCC investigator team will continue to provide collaborative scientific input for multidisciplinary research analyses of MAPP-I and MAPP-II data, integrated across multiple data domains, and will continue to support manuscript writing groups by conducting extensive baseline and longitudinal analyses. The DCC will also lead analyses of the deep phenotyping data arising from the ATLAS Study. The DCC will work closely with the MAPP Executive and Steering Committees, the NIDDK and the Investigator teams to support the MAPP-RN's mission. The DCC will continue to provide DMS-relevant support to ensure reliable web-based data transmission, a comprehensive QA Plan and an operational Data Management Plan. The MAPP DCC will continue to collaborate with the MAPP TATC in all aspects of biospecimen and data coordination, as well as facilitate the secure and accurate exchange of data and specimens required by the Research Sites and the NIDDK BioRepository. We propose a 3-year extension, to accomplish the following: SPECIFIC AIM 1: To support the MAPP Network administrative and scientific activities during an extended 12- month window for collection of longitudinal phenotypic measures and biological samples for UCPPS participants enrolled in the Trans-MAPP Symptoms Patterns Study (SPS). SPECIFIC AIM 2: To continue collaborative, integrated data analyses designed to yield new, clinically- significant insights into UCPPS, including comprehensive assessments that uniquely integrate diverse data domains. SPECIFIC AIM 3: To continue close collaboration with the Tissue Analysis and Technology Core (TATC) on best practices for data collection, specimen tracking and storage, and to support technical processes between the two cores, as well as coordinate procedures for coding, shipping, processing, receipt, storage, and sharing of study data to be maintained in the NIDDK Data and Specimen Repositories. SPECIFIC AIM 4: To solicit proposals from non-MAPP investigators for new integrated analyses of MAPP Network data through novel approaches that enhance and expand upon MAPP Research Network efforts. SPECIFIC AIM 5: To continue to foster collaborations with the outside community in development of new studies that leverage the unique resources of the MAPP Network, and to further disseminate MAPP Research Network insights to broad audiences. SPECIFIC AIM 6: To continue to collaborate with additional NIDDK supported multi-center collaborative groups, including the Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) and the Prevention of Lower Urinary Tract Symptoms (PLUS) Research Consortium.

项目摘要 MAPP研究网络（MAPP-RN）的DCC（http：//www.mappnetwork.org/），位于Penn Perelman 医学院将继续支持拟议的MAPP-II中雄心勃勃的科学发现议程 扩展名. DCC研究者团队将继续为多学科研究提供协作科学投入。 研究分析跨多个数据域的MAPP-I和MAPP-II数据，并将继续 通过进行广泛的基线和纵向分析来支持手稿写作小组。DCC将 还领导了对ATLAS研究产生的深层表型数据的分析。 DCC将与MAPP执行和指导委员会、NIDDK和调查员密切合作 支持MAPP-RN的使命。发展协调委员会将继续提供与灾害管理系统有关的支助，以确保 可靠的网络数据传输、全面的质量保证计划和可操作的数据管理计划。 MAPP DCC将继续与MAPP TATC在生物标本和数据的各个方面进行合作 协调，并促进安全和准确地交换所需的数据和标本， 研究中心和NIDDK生物库。我们建议延长三年，以实现以下目标： 具体目标1：在延长的12年期间支持MAPP网络的行政和科学活动。 收集UCPPS纵向表型指标和生物样本的月窗口 参与者参加了Trans-MAPP症状模式研究（SPS）。 具体目标2：继续协作，整合数据分析，旨在产生新的，临床- 对UCPPS的重要见解，包括独特整合各种数据的全面评估 域. 具体目标3：继续与组织分析和技术核心（TATC）密切合作， 数据收集、标本跟踪和储存的最佳实践，并支持 这两个核心，以及编码、运输、处理、接收、存储和共享的协调程序 将研究数据保存在NIDDK数据和标本库中。 具体目标4：征求非MAPP研究者对MAPP新综合分析的建议 通过新的方法，加强和扩大MAPP研究网络的努力网络数据。 具体目标5：继续促进与外部社区的合作， 利用MAPP网络的独特资源进行研究，并进一步传播MAPP研究成果 面向广大受众的网络洞察力。 具体目标6：继续与其他NIDDK支持的多中心协作 下尿路功能障碍症状研究网络（LURN）和 预防下尿路症状（PLUS）研究联盟。