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;有效评估和优先考虑有前途的生物标志物;以及严格的验证研究，以证明其临床实用性。数据管理和协调中心（DMCC）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公共和安全网站和邮件列表服务器，制作和维护所有EDRN文件，以及维护EDRN申请的在线审查系统，进行网络协调并促进科学调查人员之间的合作; 2）通过开发和维护验证研究数据管理系统支持EDRN验证研究;与EDRN研究者合作进行研究设计、方案开发、数据表和研究手册;协调和监测研究;跟踪标本;并进行QA/QC和研究评估; 3）为EDRN提供统计服务; 4）开发EDRN发现和验证生物标志物所需的方法和计算工具，包括开发用于a）预处理高维蛋白质组学和基因组数据; B）从高维数据中选择生物标志物并对其进行优先级排序; c）组合多种生物标志物用于临床测试的方法; d）解决人口异质性问题; e）有效设计研究; 5）与NCI和JPL合作，为EDRN安全网站提供信息资源，以实现数据安全、数据仓库和数据共享，并建立一个公共网站进行传播。

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.