Data Coordination and Integration Center for LINCS-BD2K

描述（由申请人提供）：对于这个项目，我们将建立数据协调和集成中心（DCIC）的图书馆集成基于网络的签名（LINC）计划作为大数据知识（BD2K）倡议的一部分。该中心将有四个主要组成部分：综合知识环境（IKE），联盟协调和管理（CCA），数据科学研究（DSR）和社区培训和推广（CTO）。该中心将构建一个高容量可扩展的IKE，实现所有LINCS资源和来自其他相关资源的许多其他外部数据类型的联合访问、直观查询和集成分析和可视化。该中心将执行，支持和资助几个内部和外部DSR项目，解决各种数据集成和细胞内分子调控网络的挑战。CTO的努力将建立几个教育计划，包括LINCS MOOC，暑期本科生研究计划，启动和支持利用LINCS资源的各种合作项目，并通过各种机制系统地传播LINCS数据和工具。中心的组织结构将包括一个强大的CCA，该CCA将支持和管理中心的目标和可交付成果，并协调LINCS和BD2K计划的活动。IKE资源将建立在我们在LINCS试点和过渡阶段已经建立的基础设施、分析工具和数据之上，从而最大限度地降低执行风险。该中心汇集了一个经过验证的计算专家团队，他们拥有多年的LINCS数据经验和互补的专业知识：Ma'ayan、Schurer和Medvedovic博士将开发和部署下一代计算基础设施，开发新的分析工具和方法，使研究人员能够从生物系统的综合模型中收集新的见解，将复杂的疾病联系起来。表型与药物以及这些药物在不同细胞和组织中靶向的途径。该项目将在改变和加速发现新疗法以及改善诊断以显著促进人类健康方面发挥关键作用。

DESCRIPTION (provided by applicant): For this project we will establish the Data Coordination and Integration Center (DCIC) for the Library of Integrated Network-based Signatures (LINC) program as part of the Big Data to Knowledge (BD2K) initiative. The Center will have four major components: Integrated Knowledge Environment (IKE), Consortium Coordination and Administration (CCA), Data Science Research (DSR) and Community Training and Outreach (CTO). The Center will construct a high-capacity scalable IKE enabling federated access, intuitive querying and integrative analysis and visualization across all LINCS resources and many additional external data types from other relevant resources. The Center will perform, support, and fund several Internal and external DSR projects, addressing various data integration and intracellular molecular regulatory network challenges. The CTO efforts will establish several educational programs including a LINCS MOOC, summer undergraduate research program, initiate and support diverse collaborative projects leveraging LINCS resources, and systematically disseminate LINCS data and tools via a variety of mechanisms. The organizational structure of the Center will include a strong CCA that will support and manage the Center goals and deliverables, and coordinate activities across the LINCS and BD2K programs. The IKE resources will build on the infrastructure, analysis tools and data that we have already established in the LINCS pilot and transition phases, thus minimizing executional risks. The Center brings together a proven team of computational experts with several years of experience with LINCS data and complementary expertise: Drs. Ma'ayan, Schurer, and Medvedovic will develop and deploy a next generation computational infrastructure, develop novel analysis tools and methods enabling researchers to glean new insights from integrative models of biological systems to link complex diseases/phenotypes with drugs and the pathways that those drugs target in different cells and tissues. The project will play a key role to transform and accelerate the discovery of novel therapeutics and improve diagnostics for significantly advancing human health.