EDRN:Data Management and Coordinating Center

描述（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；生物标志物的有效评价和优先排序还有严格的验证研究来证明它们的临床效用。数据管理和协调中心（DMCC）拟议更新的总体目标是：(i)提供EDRN的协调，以加强EDRN研究人员之间以及与一般科学界的沟通和合作；（ii）提供统计支持，以评估和优先考虑有前途的生物标志物，以及（iii）协调EDRN验证研究。在指导委员会的指导下，DMCC将1)通过为EDRN会议和研讨会提供支持，开发和维护EDRN公共和安全的网站和列表服务器，制作和维护所有EDRN文件，维护向EDRN提交申请的在线审查系统，进行网络协调，促进科研人员之间的合作；2)通过开发和维护验证研究数据管理系统来支持EDRN验证研究；与EDRN研究者就研究设计、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;进行QA/QC和研究评估；3)为EDRN提供统计服务；4)开发EDRN所需的方法和计算工具，用于生物标志物的发现和验证，包括开发a)预处理高维蛋白质组学和基因组数据的方法；B)从高维数据中选择和优先排序生物标志物；C)结合多种生物标志物进行临床试验；D)解决人口异质性；e)有效地设计研究；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，并为传播提供公共网站。

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.