EDRN:Data Management and Coordinating Center

描述(由申请人提供)：EDRN成功的关键在于多学科科学家之间的良好沟通；对有前途的生物标记物进行有效的评估和优先排序；以及严格的验证研究以证明其临床实用。拟议更新数据管理和协调中心(DMCC)的总体目标是：(1)协调EDRN，以加强EDRN研究人员之间以及与一般科学界的沟通和合作；(2)提供统计支持，评价有希望的生物标记物并确定其优先次序；(3)协调EDRN验证研究。在指导委员会的指导下，发展研究协调中心将1)开展网络协调，促进科学研究人员之间的合作，为发展研究网络的会议和讲习班提供支持，开发和维护发展研究网络的公共和安全网站和清单服务器，制作和维护所有发展研究网络文件，并维护提交给发展研究网络的申请的在线审查系统；2)通过开发和维护验证研究数据管理系统支持发展研究网络验证研究；与发展研究网络研究人员就研究设计、方案制定、数据表格和研究手册进行合作；协调和监测研究；跟踪标本；以及进行质量保证/质量控制和研究评估；3)向发展研究网络提供统计服务；4)开发EDRN发现和验证生物标记物所需的方法和计算工具，包括为a)对高维蛋白质和基因组数据进行预处理；b)从高维数据中选择生物标记物并确定其优先顺序；c)将多个生物标记物结合用于临床试验；d)处理种群异质性；e)高效设计研究；以及5)与NCI和JPL合作，为EDRN安全网站提供信息资源，用于数据安全、数据仓库和数据共享，并建立一个公共网站供传播。

DESCRIPTION (provided by applicant): The key for EDRN's success lies in good communication among scientists in multiple disciplines; efficient evaluation and prioritization of promising biomarkers; and rigorous validation studies to demonstrate their clinical utility. The overall aims of the proposed renewal of the Data Management and Coordinating Center (DMCC) are to (i) provide coordination of EDRN in order to enhance communication and collaboration among EDRN investigators and with general scientific communities; (ii) provide statistical support to evaluate and prioritize promising biomarkers, and (iii) coordinate EDRN validation studies. Under the direction of the Steering Committee, the DMCC will 1) perform network coordination and promote collaborations among scientific investigators by providing support for EDRN meetings and workshops, developing and maintaining EDRN public and secure websites and listservs, producing and maintaining all EDRN documents, and maintaining the online review system for applications submitted to the EDRN; 2) support EDRN validation studies by developing and maintaining validation study data management systems; working with EDRN investigator on study design, protocol development, data forms, and study manuals; coordinating and monitoring studies; tracking specimens; and performing QA/QC and study evaluation; 3) provide statistical services to EDRN; 4) develop methodologies and computational tools needed by EDRN for biomarker discovery and validation, including developing methods for a) preprocessing high dimensional proteomic and genomic data; b) selecting and prioritizing biomarkers from high dimensional data; c) combining multiple biomarkers for clinical tests; d) addressing population heterogeneity; and e) designing studies efficiently; and 5) work with NCI and JPL to provide informatic resources for the EDRN Secure Web site for data security, data warehouse, and data sharing, and a Public Website for dissemination.