Meaningful data integration, visualization and distribution for Human Pain Associated Genes & Cells Datasets
Meaningful data integration, visualization and distribution for Human Pain Associated Genes & Cells Datasets
批准号:
10806601
负责人:
Peter John Hunter
金额:
$444.63万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-30 至 2026-08-31
关键词:
3-DimensionalAccelerationAnatomyArchitectureBioinformaticsCell physiologyCellsChromosome MappingCollaborationsCommunicationCommunitiesDataData CollectionData Management ResourcesData SetDevelopmentEducation and OutreachEnsureEnvironmentFosteringGenesGoalsHelping to End Addiction Long-termHumanImageIndividualInfrastructureIntuitionInvestigationKnowledgeKnowledge ManagementLabelLeadMapsMetadataMolecular ProfilingNeurosciencesOutputPainPathway interactionsPeripheralPersonsPhenotypePhysiologicalPhysiologyPrivatizationProtocols documentationPublicationsPublishingResearchResearch PersonnelResource SharingResourcesSecureSemanticsSignal TransductionStandardizationSystemTissuesTranslationsUnited States National Institutes of HealthVisualizationVisualization softwareVocabularyWorkcell typecomplex datadata curationdata ecosystemdata explorationdata integrationdata managementdata repositorydata resourcedata sharingdata standardsdata submissiondata visualizationimprovedinformation organizationinter-institutionalknowledge graphknowledge integrationmeetingsnoveloutreachpain signalprogramsrepositoryscaffoldtechnology platformtooltransmission processweb app
中文摘要
项目总结:
精密人类疼痛项目的主要目标是开发一个全面的分子数据集
标记细胞类型,以及构成人类疼痛信号的细胞功能表型或标记
转导、传输和处理。为了最大限度地提高通过这一努力产生的数据的影响,它
对于标准化和集成U19中心生成的所有数据并使这些数据在
对更大的科学界来说是有意义的方式。作为数据协调和整合中心,我们将
支持Precision Heal计划,以生成用于共享、可视化数据集和
使这些数据集可用于下游分析和科学调查。在过去的7年里,
我们的跨学科团队开发了平台技术、标准和可视化机制,以
查看几个NIH计划(例如SPARC和REJOIN)的上下文中的生理数据。我们的组合域
专业知识涵盖了促进专门针对神经科学和
生理学数据集。我们将利用我们现有的平台技术和工作流来快速参与
Heal Precision U19以U19为中心,领导开发知识和数据集成的努力
支持高影响力研究所需的能力。
我们将扩展我们的工作流,以便与现有的Hear Data生态系统紧密集成,即ITS
存储库,以及各个U19数据核心的任何工作流程和数据集成要求。在这
我们的目标是:(1)为Heal Precision开发一个数据管理和知识平台
Hear Precision U19数据收集中心标准化数据集,提供了以下方法
在数据发布之前,以有意义的方式在联合体之间共享数据并整合知识
跨所有提交的数据(2)开发新的可视化和数据探索机制以与之交互
这些数据在环境中作为集成数据生态系统的一部分。(3)增加治疗效果
通过业务支持、外展和教育努力的精准计划。该项目利用了
在生物信息学、生理学和生物科学领域的研究人员之间建立了机构间合作
知识管理,有用数据资源成功支持NIH大型工作的记录
管理层。
英文摘要
Project Summary:
The PRECISION Human Pain project has a primary goal to develop a comprehensive datasets of molecular
signature cell types, and cellular function phenotypes or signatures that underlie human pain signal
transduction, transmission, and processing. To maximize the impact of the data generated through this effort, it
is vital to standardize and integrate all data generated by the U19 centers and make these data available in a
meaningful way to the larger scientific community. As the data coordination and integration center, we will
support the PRECISION Heal initiative to generate a high impact resource for sharing, visualizing datasets, and
making these datasets actionable for downstream analysis and scientific investigations. Over the last 7 years,
our interdisciplinary team has developed platform technologies, standards, and visualization mechanisms to
look at physiological data in context for several NIH programs (e.g. SPARC and REJOIN). Our combined domain
expertise spans the requirements to facilitate complex data integration specifically for Neuroscience and
physiology datasets. We will leverage our existing platform technologies and workflows to rapidly engage with
the HEAL PRECISION U19 centers and lead the effort to develop the knowledge and data integration
capabilities needed to support high impact research.
We will expand our workflows to be tightly integrated with the existing HEAL Data Ecosystem, its
repositories, and any workflow and data integration requirements by the individual U19 data cores. In this
proposal our goals are: (1) To develop a data management and knowledge platform for HEAL Precision
centers to standardize datasets across the HEAL Precision U19 data collection centers, provide the means to
share data amongst the consortium in a meaningful way prior to data publication and integrate knowledge
across all submitted data (2) To develop novel visualization and data exploration mechanisms to interact with
these data in context as part of an integrated data ecosystem. (3) To increase the impact of the HEAL
PRECISION program through operational support, outreach and educational efforts. This project leverages an
established inter institutional collaboration between investigators across BioInformatics, Physiology and
Knowledge Management with a track record of successfully supporting large NIH efforts with data resource
management.
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会议论文
Multi-scale, multi-organ, multi-species SPARC map management
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批准号:10462829
-
项目类别:
-
资助金额:$215.79万
-
财政年份:2017
-
负责人:Peter John Hunter
-
依托单位:
Multi-scale, multi-organ, multi-species SPARC map management
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批准号:10901072
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项目类别:
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资助金额:$160.8万
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财政年份:2017
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负责人:Peter John Hunter
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依托单位:
Multi-scale, multi-organ, multi-species SPARC map management
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批准号:10682789
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项目类别:
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资助金额:$109.44万
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财政年份:2017
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负责人:Peter John Hunter
-
依托单位:
Multi-scale, multi-organ, multi-species SPARC map management
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批准号:10591843
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项目类别:
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资助金额:$4.2万
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财政年份:2017
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负责人:Peter John Hunter
-
依托单位:
海外基金