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中文摘要
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该申请概述了建立NIDDK互联网络协调中心(INCC)的计划,以扩展和增强当前的NIDDK联盟互联网络(dkCOIN)社区和基础设施。目前的dkCOIN是在认识到需要通过提供与NIDDK使命相关的大型数据库的无缝访问来互连基础和临床研究社区的基础上建立的。dkCOIN项目的目标与现有的神经科学信息框架(NIF)的目标相似,NIF是NIH神经科学研究所蓝图于2008年建立的一个项目,旨在对通过网络提供的无数工具和数据进行景观分析,并创建一个可以集体访问这些资源的门户网站。NIF旨在通过其新颖的数据联合技术和基于概念的搜索来打破信息孤岛。NIF以全球视角看待资源,没有神经科学资源或代谢资源,只有包含与不同社区或多或少相关的信息的生物医学资源。因此,虽然NIF用户界面是特定领域的,但NIF信息系统及其联合的资源广泛适用于生物医学科学。在本提案中,我们概述了通过使用NIF基础设施、数据联合和专业知识来扩展和增强dkCOIN的计划。 通过这次合并,我们可以通过引入NIF广泛的数据联合、资源目录和语义搜索服务,立即为当前的dkCOIN增加可观的价值。该门户网站将继续根据NIDDK社区的需求和习惯提供数据和工具,但后端将利用扩展的资源库,跨越生物医学科学的所有领域,而不是一个有限的集合。新的开发将侧重于使用NIDDK社区使用的工具创建工作流程,这些工具具有大量的集成数据。这些工具和工作流程将链接到云计算和存储资源,以确保网络的可持续性。新的发展还将侧重于更有效的手段,将NIDDK研究人员与他们可用的资源联系起来,以支持他们的研究项目。开发将由NIDDK支持的研究人员提供的用例驱动,以确保它符合NI DDK的目标。我们认为,这里概述的战略提供了一种具有成本效益和创新性的手段,以确保研究人员无论居住在哪里都能获得他们所需的数据和工具,并为未来的类似努力提供了一个可持续的模式。
英文摘要
DESCRIPTION (provided by applicant): This application outlines plans for the establishment of the NIDDK Interconnectivity Network Coordinating Center (INCC) to expand and enhance the current NIDDK Consortium Interconnectivity Network (dkCOIN) community and infrastructure. The current dkCOIN was established in recognition of the need to interconnect research communities, both basic and clinical, by providing seamless access to large pools of data relevant to the mission of NIDDK. The aims of the dkCOIN project are similar in scope to those of the existing Neuroscience Information Framework (NIF), a project established in 2008 by the NIH Blueprint for Neuroscience Research Institutes to provide a landscape analysis of the myriad of tools and data available via the web, and to create a portal where these resources could be collectively accessed. The NIF was designed to break down silos of information through its novel data federation technology and its concept based search. NIF takes a global view of resources such that there are no neuroscience resources or metabolic resources, only biomedical resources that contain information of more or less relevance to different communities. Thus, while the NIF user interface is domain-specific; the NIF information system and the resources it federates are broadly applicable to biomedical science. In this proposal, we outline plans to extend and enhance dkCOIN through the use of the NIF infrastructure, data federation and expertise. Through this merger, we can immediately add considerable value to the current dkCOIN by bringing in NIF's expansive data federation, resource catalog and semantic search services. The portal will continue to present the data and tools according to the needs and customs of the NIDDK community, but the backend will tap into an expanded resource pool that cuts across all domains of biomedical science, rather than a restricted set. New development will focus on the creation of workflows using tools in use by the NIDDK community with this vast array of integrated data. These tools and workflows will link to cloud computational and storage resources, in order to ensure that the network is sustainable. New development will also focus on more effective means to connect NIDDK researchers with resources that are available to them to support their research projects. Development will be driven by use cases supplied by NIDDK-supported researchers to ensure that it meets NI DDK's objectives. We believe that the strategy outlined here provides a cost effective and innovative means to ensure that researchers have access to the data and tools they require regardless of where they reside, and provides a sustainable model for future similar efforts.
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OPERATION, SUPPORT AND STRATEGIC ENHANCEMENT OF THE NEUROSCIENCE INFORMATION FRAMEWORK
OPERATION, SUPPORT AND STRATEGIC ENHANCEMENT OF THE NEUROSCIENCE INFORMATION FRAMEWORK
NIDDK Network Coordinating Unit
dkNET Coordinating Unit: An information network for FAIR resources and data
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