National Cancer Informatics Program (NCIP)

在八年的时间里，CBIIT实施并领导了caBIG(癌症生物医学信息网格)计划，通过将整个癌症社区的研究人员、医生和患者联系起来，加快研究发现并改善患者结果。CABIG是NCIS生物医学信息学努力的基石，旨在将癌症研究转变为更具协作性、效率和效力的努力。 2012年5月，NCI实施了国家癌症信息学计划(NCIP)，这是一项新计划，旨在支持癌症研究界的生物医学信息学需求，并支持各种水平的研究，从分析个人研究人员进行的实验到为大型分布式合作试验、转化研究和大规模基因组研究创建企业基础设施。 在实施NCIP的过程中，NCI重新评估了caBIG计划，并开始为支持NCIS研究计划的信息学基础设施制定新的路线。NCIP的成立是为了开发可互操作的生物医学信息系统的新愿景，该系统建立在社区驱动的数据标准基础上，以支持癌症研究企业。在高级别上，NCIP预计将至少由四个组成部分组成。这些课程包括：生物医学信息学培训；生物医学信息学基础设施；生物医学信息学和计算生物学；以及硅谷生物学。 NCIP将利用在中进行的投资，并将保留从caBIG和一些成功的caBIG工具和组件中吸取的经验教训，并将其整合到NCIP中，而其他工具和组件则已缩减或取消。 CaBIG计划在2012财年的大部分时间里一直在运行，并管理着对提高研究人员利用生物医学信息的能力至关重要的数字能力的访问。其中许多活动将在2013财年继续在NCIP内，在该计划的生物医学信息学基础设施部分下进行。CaBIG方案的目标包括，而NCIP方案的目标将包括： 1.标准。在癌症研究中广泛传播和使用社区驱动的、竞争前开放源码标准，用于癌症研究中的数据交换和互操作性 2.学术软件开发社区。强大的学术界发展、维护、增强和传播其创新的生物医学信息学能力。 3.研究人员的策略设定。研究人员的动态参与，以确定癌症生物学和临床研究中的生物医学信息学需求并确定其优先顺序，以及互操作性要求。 4.关键能力的可用性。广泛、可持续地提供基于关键标准、可互操作的学术/商业生物医学能力。 5.数据的可用性。大型和多样化的癌症研究数据集可持续地用于分析、整合和挖掘。 它通过以下方式实现这些目标： 1.社区。CaBIG计划参与并促进了一个富有成效和多样化的社区，包括行业、标准开发组织和开放源码开发实体。此外，CBIIT工作人员与适当的NCI财团和合作伙伴进行各种NIH计划，以扩大这样的社区 2.能力。CaBIG计划引入并实现了对尖端功能的访问。CBIIT工作人员与NCI科学部门合作，支持该计划优先考虑的高影响领域。这种支持是针对学术研究人员的。这种支持优先考虑现有的学术和商业软件，并在必要时投资于没有现有能力的开放源代码的开发。 3.互联互通。CaBIG计划充当社区驱动的、竞争前的、开放源码的标准和互操作性规范的诚实经纪人。

Over an eight year period, CBIIT implemented and led the caBIG (cancer Biomedical Informatics Grid) initiative to accelerate research discoveries and improve patient outcomes by linking researchers, physicians, and patients throughout the cancer community. caBIG served as the cornerstone of NCIs biomedical informatics efforts to transform cancer research into a more collaborative, efficient, and effective endeavor. In May, 2012, the NCI implemented The National Cancer Informatics Program (NCIP), a new program to support the biomedical informatics needs of the cancer research community and to support research at a variety of levels, ranging from analysis of experiments performed by individual investigators to creating the enterprise infrastructure for large distributed cooperative trials, translational research and large scale genomics research. In implementing the NCIP, NCI reassessed the caBIG program and began charting a new course for the informatics infrastructure that will support the NCIs research programs. The NCIP is chartered to develop a new vision for interoperable biomedical information systems, built on community-driven data standards to support the cancer research enterprise. At a high-level, the NCIP is expected to consist of at least four component parts. These include: Biomedical Informatics Training; Biomedical Informatics Infrastructure; Biomedical Informatics and Computational Biology; and In Silico Biology. The NCIP will leverage the investments made in, and lessons learned from caBIG and a number of successful caBIG tools and components will be maintained and integrated into the NCIP, while others have been scaled back or eliminated. The caBIG program has been in operation for most of FY2012 and stewards access to digital capabilities essential to enhancing researchers capacity to utilize biomedical information. Many of these activities will continue in FY2013 within the NCIP, under the Biomedical Informatics Infrastructure component of the Program. The Goals of the caBIG program have included, and those of the NCIP program will include: 1. Standards. Widespread dissemination and use throughout the cancer community of community-driven, pre-competitive open source standards for data exchange and interoperability in cancer research 2. Academic Software Development Community. Robust academic community developing, maintaining, enhancing, and disseminating their innovative biomedical informatics capabilities. 3. Setting of Strategy by Researchers. Dynamic involvement of researchers to identify and prioritize biomedical informatics needs in cancer biology and clinical research, as well as requirements for interoperability. 4. Availability of Critical Capabilities. Widespread, sustainable availability of critical standards-based, interoperable academic/commercial biomedical capabilities. 5. Availability of Data. Large and diverse cancer research data sets sustainably available for analysis, integration, and mining. It accomplishes these goals through: 1. Community. The caBIG program engages and facilitates a productive and diverse community including industry, standards development organizations and open source development entities. In addition, the CBIIT staff engages appropriate NCI Consortia and partners with a variety of NIH programs to augment such a community 2. Capabilities. The caBIG program introduces and enables access to cutting-edge capabilities. The CBIIT staff partners with NCI Scientific Divisions to support high impact areas that have been prioritized by the program. That support is directed at academic investigators. Such support gives precedence to existing academic and commercial software, and as necessary invests in development of open source code where there are not existing capabilities. 3. Connectivity. The caBIG program acts as an honest broker of community-driven, pre-competitive, open source standards and interoperability specifications.