FaceBase 2 Coordinating Center
FaceBase 2 Coordinating Center
批准号:
9131843
负责人:
Carl Kesselman
金额:
$32.87万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-05-16 至 2019-04-30
关键词:
Advisory CommitteesAnimal ModelArchitectureBioinformaticsBiologicalCollaborationsCollectionCommunicationCommunitiesDataData AnalysesData ElementData LinkagesData SetDatabasesDevelopmentDysmorphologyEnsureFaceBaseFeedbackFosteringFundingGene ExpressionGeneticGenomicsGoalsHealthHumanImageImageryKnowledgeLeadLeadershipLinkMethodsMusParticipantPlayPoliciesProcessProteomicsRegulatory PathwayResearchResearch InfrastructureResearch PersonnelResearch Project GrantsResourcesRoleSecureSecurityServicesSiteStagingStructureTeleconferencesWorkYangbasecraniofacialcraniofacial developmentdata integrationdata managementdata sharingdata visualizationdesignexperiencehuman dataimaging modalityinstrumentationmeetingsmembermigrationoperationtooluser centered design
中文摘要
描述(由申请人提供):FaceBase联盟是一个分布式网络的研究人员调查颅面发育和畸形。该联盟包括通过资助的“辐条”项目直接参与的研究项目以及整个颅面研究社区的成员。从人类和动物模型中收集、共享和整合包括遗传学、成像和解剖学在内的异构数据对于推进颅面研究至关重要。我们将开发和维护FaceBase 2数据管理和集成中心基础设施,该基础设施将正确存储,表示和为研究社区提供这些数据,并提供可视化,集成,注释,链接和分析数据的工具。我们的三大目标不仅提供所需的数据迁移和管理,还提供一套以用户为中心的数据可视化、比较和注释工具。目标1:创建一个以易用性和以用户为中心的设计原则为驱动的基础架构,以在整个生命周期内管理数据。通过采取以用户为中心的方法并支持数据在其整个生命周期中的使用,可以最大限度地提高中心的发现率和效用。目标2:在Hub内提供工具,通过启用数据注释、集成和分析来加速颅面研究。为了最大限度地发挥Hub对分支项目和外部用户的效用,我们建议的基础设施将允许任何用户定义个人工作空间,将数据集可视化工具和分析工具组织到特定的用户驱动的工作流程中。目标3:促进FaceBase研究网络的使用和协作。该中心将向联合体提供广泛的协作工具和服务,并组织面对面的会议,以加强协作。我们已经组建了一支经验丰富的生物信息学,成像,遗传学,小鼠和人类研究专家团队,其中包括FaceBase参与者,他们带来了颅面研究社区需求的第一手知识。FaceBase团队有意多样化,为每个分支组提供至少一个知情联系人,他们将在Hub的开发和实施中发挥不可或缺的作用,从而确保每个分支项目的数据将对研究人员社区产生最大的影响。
英文摘要
DESCRIPTION (provided by applicant): The FaceBase consortium is a distributed network of researchers investigating craniofacial development and dysmorphology. The consortium includes research projects directly participating via funded "spoke" projects as well as members of the craniofacial research community at large. The collection, sharing and integration of heterogeneous data, including genetic, imaging, and anatomical, from human and animal models are essential for advancing craniofacial research. We will develop and maintain a FaceBase 2 Data Management and Integration Hub infrastructure that will properly store, represent, and serve these data to the research community, and in addition provide access to tools for visualizing, integrating, annotating, linking and analyzing the data. Our three broad aims will provide not only the needed data migration and management, but also a set of user-centered tools for data visualization, comparison and annotation. These are: Aim 1: Create an infrastructure driven by principles of ease of use and user centered design to manage data throughout its lifecycle. By taking a user centric approach and supporting the use of data throughout its lifecycle, the rate of discovery and utility of the hub can be maximized. Aim 2: Provide tools within the Hub that accelerate craniofacial research by enabling data annotation, integration and analysis. To maximize the utility of the Hub for both spoke projects and outside users, our proposed infrastructure will allow any user to define a personal workspace, organize datasets visualization tools and analysis tools into specific user-driven workflows. Aim 3: Promote use and collaboration across the FaceBase research network. The Hub will provide a wide range of collaboration tools and services to the consortium as well as organizing face-to-face meetings in order to enhance collaboration. We have assembled an experienced team of experts in bioinformatics, imaging, genetics, mouse and human studies, including FaceBase participants who bring firsthand knowledge of the needs within the craniofacial research community. The FaceBase team is intentionally diverse, to provide each spoke group at least one informed contact who will play an integral role in the development and implementation of the Hub, thereby ensuring that the data of each spoke project will have maximum impact on the community of researchers.
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USC GUDMAP Coordinating Center
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批准号:9548075
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项目类别:
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资助金额:$30.0万
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财政年份:2016
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负责人:Carl Kesselman
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资助金额:$71.2万
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财政年份:2016
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批准号:10176782
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资助金额:$23.84万
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财政年份:2016
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资助金额:$125.29万
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财政年份:2015
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批准号:8725440
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项目类别:
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资助金额:$199.75万
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财政年份:2014
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负责人:Carl Kesselman
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批准号:9265441
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项目类别:
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资助金额:$196.65万
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负责人:Carl Kesselman
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批准号:8849891
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项目类别:
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资助金额:$197.33万
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负责人:Carl Kesselman
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FaceBase 2 Coordinating Center
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批准号:9043854
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项目类别:
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资助金额:$197.68万
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财政年份:2014
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负责人:Carl Kesselman
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依托单位:
BIO-INFORMATICS RESEARCH NETWORK COORDINATING CENTER (BIRN-CC)
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批准号:8359517
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项目类别:
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资助金额:$443.99万
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财政年份:2010
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负责人:Carl Kesselman
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依托单位:
Data and Computational Models Dissemination
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批准号:7802575
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项目类别:
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资助金额:$12.99万
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财政年份:2009
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负责人:Carl Kesselman
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依托单位:
Bio-Informatics Research Network Coordinating Center (BIRN-CC)
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批准号:7915020
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项目类别:
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资助金额:$49.29万
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财政年份:2009
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负责人:Carl Kesselman
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依托单位:
BIO-INFORMATICS RESEARCH NETWORK COORDINATING CENTER (BIRN-CC)
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项目类别:
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资助金额:$494.52万
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财政年份:2009
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负责人:Carl Kesselman
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依托单位:
BIO-INFORMATICS RESEARCH NETWORK COORDINATING CENTER (BIRN-CC)
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批准号:7961187
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项目类别:
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资助金额:$64.27万
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财政年份:2009
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负责人:Carl Kesselman
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依托单位:
Bio-Informatics Research Network Coordinating Center (BIRN-CC)
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批准号:8212574
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项目类别:
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资助金额:$440.67万
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财政年份:2008
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负责人:Carl Kesselman
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依托单位:
Bio-Informatics Research Network Coordinating Center (BIRN-CC)
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批准号:7616340
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项目类别:
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资助金额:$446.75万
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财政年份:2008
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负责人:Carl Kesselman
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依托单位:
BIO-INFORMATICS RESEARCH NETWORK COORDINATING CENTER (BIRN-CC)
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批准号:7961149
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项目类别:
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资助金额:$511.02万
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财政年份:2008
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负责人:Carl Kesselman
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项目类别:
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资助金额:$443.99万
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财政年份:2008
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负责人:Carl Kesselman
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依托单位:
Bio-Informatics Research Network Coordinating Center (BIRN-CC)
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项目类别:
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资助金额:$64.27万
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财政年份:2008
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负责人:Carl Kesselman
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项目类别:
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财政年份:2008
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负责人:Carl Kesselman
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财政年份:2008
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负责人:Carl Kesselman
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依托单位:
海外基金