Building a virtual cancer research organization.
Building a virtual cancer research organization.
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建立一个虚拟的癌症研究组织。
DOI：
10.1093/jncimonographs/lgi033
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
W
中科院分区：
文献类型：
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作者：
Hornbrook,MarkC;Hart,Gene;Ellis,JenniferL;Bachman,DonaldJ;Ansell,Gary;Greene,SarahM;Wagner,EdwardH;Pardee,Roy;Schmidt,MarkM;Geiger,Ann;Butani,AmyL;Field,Terry;Fouayzi,Hassan;Miroshnik,Irina;Liu,Liyan;Diseker,Robert;W
背景：癌症研究网络(CRN)由国家癌症研究所和11个附属于综合医疗保健提供系统的非营利性研究中心组成。CRN是一个公共/私人合作伙伴关系，在不同的人群中促进关于癌症预防、筛查、治疗、生存和缓解的多站点协作研究。方法：CRN的成功取决于产生创新的癌症研究，这些研究可能不是由科学家单独开发的，然后在多个人口实验室将这些发现转化为临床实践。CRN是一个协作性的虚拟研究组织，其特点是科学家和医疗保健提供者之间可以用户定义的数据文件共享，以及对研究人员、计算机、软件、数据、研究参与者和其他资源的直接访问。CRN的研究管理网站通过发布标准化的数据定义、文件规范和计算机程序来支持合并和分析来自多个医疗保健系统的数据，从而培育了一个高功能的虚拟科学社区。结果：到目前为止开发的七种主要类型的标准化数据文件包括人口统计学、健康计划资格、肿瘤登记、住院和门诊利用、药物分配、实验室测试和成像程序；更多类型的标准化数据文件将陆续推出。数据标准化避免了重复工作，增加了多站点数据的完整性，提高了数据安全性，缩短了从最初的提案概念到提交的时间，促进了跨机构科学家之间更频繁的合作。结论：CRN研究管理网站和相关标准化数据文件和程序是一种准公共资源，CRN随时准备与外部机构的研究人员合作，开发和开展创新的公共领域研究。
Background:The Cancer Research Network (CRN) comprises the National Cancer Institute and 11 nonprofit research centers affiliated with integrated health care delivery systems. The CRN, a public/private partnership, fosters multisite collaborative research on cancer prevention, screening, treatment, survival, and palliation in diverse populations.Methods:The CRN's success hinges on producing innovative cancer research that likely would not have been developed by scientists working individually, and then translating those findings into clinical practice within multiple population laboratories. The CRN is a collaborative virtual research organization characterized by user-defined sharing among scientists and health care providers of data files as well as direct access to researchers, computers, software, data, research participants, and other resources. The CRN's research management Web site fosters a high-functioning virtual scientific community by publishing standardized data definitions, file specifications, and computer programs to support merging and analyzing data from multiple health care systems.Results:Seven major types of standardized data files developed to date include demographics, health plan eligibility, tumor registry, inpatient and ambulatory utilization, medication dispensing, laboratory tests, and imaging procedures; more will follow. Data standardization avoids rework, increases multisite data integrity, increases data security, generates shorter times from initial proposal concept to submission, and stimulates more frequent collaborations among scientists across multiple institutions.Conclusions:The CRN research management Web site and associated standardized data files and procedures represent a quasi-public resource, and the CRN stands ready to collaborate with researchers from outside institutions in developing and conducting innovative public domain research.