NIDDK Network Coordinating Unit

NIDDK 网络协调单位

• 批准号: 9213371
• 负责人: Jeffrey S. Grethe
• 金额: $ 51.93万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-12-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9213371
• 关键词: Award; Biological; Catalogs; Cellular Metabolic Process; Clinical; Communities; Custom; Data; Data Analyses; Data Set; Development; Diabetes Mellitus; Education and Outreach; Educational workshop; Ensure; Future; Generations; Goals; Imagery; Informatics; Information Systems; Institutes; Internet; Link; Meta-Analysis; Metabolic; Mission; Modeling; Modernization; Monitor; National Institute of Diabetes and Digestive and Kidney Diseases; Neurosciences; Neurosciences Research; Plug-in; Population; Production; Registries; Reporting; Research; Research Infrastructure; Research Institute; Research Personnel; Research Project Grants; Resources; Science; Scientific Advances and Accomplishments; Semantics; Series; Services; Stem cells; Structure; System; Technology; Testing; Tissues; Training; Training Programs; United States National Institutes of Health; Work; base; biomedical resource; cloud based; cost effective; data access; data mining; data resource; design; falls; information framework; innovation; interest; metabolomics; next generation; novel; outreach; public health relevance; social media; tool; webinar

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.

描述（由申请人提供）：本申请概述了建立 NIDDK 互联网络协调中心 (INCC) 的计划，以扩大和增强当前 NIDDK 联盟互联网络 (dkCOIN) 社区和基础设施。目前的 dkCOIN 是为了认识到需要通过提供与 NIDDK 使命相关的大量数据的无缝访问来互连基础和临床研究社区的需要而建立的。 dkCOIN 项目的目标在范围上与现有的神经科学信息框架 (NIF) 类似，该项目是由 NIH 神经科学研究机构蓝图于 2008 年建立的项目，旨在对通过web，并创建一个可以集体访问这些资源的门户。 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 采用全球资源视角，不存在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 用户界面是特定于域的； 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，但后端将利用一个扩展的资源库，涵盖生物医学科学的所有领域，而不是一个有限的资源库。新的开发将侧重于使用 NIDDK 社区使用的工具以及大量集成数据创建工作流程。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。新的开发还将侧重于更有效的方式，将 NIDDK 研究人员与可用于支持其研究项目的资源联系起来。开发将由 NIDDK 支持的研究人员提供的用例驱动，以确保其满足 NI DDK 的目标。我们相信，此处概述的策略提供了一种具有成本效益和创新的方法，以确保研究人员无论身在何处都能获得所需的数据和工具，并为未来的类似工作提供可持续的模型。