The LungMAP Data Coordination Center for Next Gen Systems Biology of Respiration
The LungMAP Data Coordination Center for Next Gen Systems Biology of Respiration
批准号:
10228616
负责人:
Bruce J Aronow
金额:
$145.84万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-23 至 2024-07-31
关键词:
3-DimensionalAccountabilityAdoptedAdultAnatomyAtlasesAwarenessBRAIN initiativeBenchmarkingBiological AssayCell CommunicationCellsCellular StructuresChildhoodClinical DataCollaborationsCollectionCommunicationCommunitiesComplexDataData AnalysesData Coordinating CenterData ProvenanceData ScienceData SetData StoreDepositionDevelopmentDiseaseEngineeringEnsureEnvironmentFAIR principlesFosteringFundingGap JunctionsGenerationsGenomicsGoalsHumanHuman BioMolecular Atlas ProgramImageImage AnalysisIndividualIngestionInstitutesKnowledgeLaboratoriesLeadershipLinkLungLung diseasesMapsMetadataMethodsModelingMolecularMolecular ProfilingMonitorMorphologyNeonatalOntologyOperations ResearchOrganPathogenesisPatient RepresentativePhasePositioning AttributeProcessProtocols documentationReproducibility of ResultsResearchResearch PersonnelResolutionResource SharingRespirationRunningScienceSecureServicesSpecialistSpecific qualifier valueStandardizationStructural ModelsStructureSystems BiologyTechnologyTimeTissue imagingUnited States National Institutes of HealthValidationVariantWorkapplication programming interfacebasebody systemcell typecloud storagecomputerized data processingdata accessdata disseminationdata formatdata harmonizationdata hubdata ingestiondata integrationdata portaldata resourcedata sharingdata standardsdata toolsdata visualizationexperiencehigh resolution imaginghuman tissueimprovedinsightinteractive toolinteroperabilitylarge scale dataliteracylung developmentlung maturationmetadata standardsmolecular imagingmultidimensional datamultidisciplinarymultiple omicsnew technologyonline resourceoutreachprogramsrepositorysingle-cell RNA sequencingskills trainingsocialsuccesstooltwo-dimensionalweb siteweb-enabled
中文摘要
项目摘要
LungMAP 2计划将创建新生儿,儿科和早期成人的详细分子图谱
肺,使功能和解剖学定义的细胞类型的更好的理解。数据
协调中心(DCC)将作为LungMAP 2的集体知识和活动的纽带。的
DCC负责数据整理、再分析和整合;二次注释跟踪;开发
便利收集、分享和传播数据的工具;运营数据、专门知识和
合作;以及协调研究中心(RC)和人体组织中心的活动。的
数据和通信中心还将促进研究人员使用已开发的工具和最佳做法进行分析、数据收集和分析。
出处和元数据注释,并吸引更大的研究社区。为了主办DCC,我们有
组建了一个多学科团队,沿着单细胞基因组学的领导者,
图像分析、功能推理和数据再利用。DCC利用CCHMC的独特专业知识,
UCSC和布罗德研究所共同操作面向肺部的单细胞和高分辨率成像数据
其他Atlas程序。我们的领导团队还包括世界知名的肺部研究人员,
确保我们提供给研究界的数据和知识具有最大的科学影响。
总的来说,我们建议通过协调各资助机构的努力来加速LungMAP科学议程。
中心、NIH和肺部研究团体;交叉验证、注释、存款和链接
联盟数据集和元数据,包括分子组学、成像和相关结构
模型;并在LungMAP和研究社区内实现数据、结果和模型的共享。
来自RC的数据集和结果预计将对肺部产生重要的新见解
成熟、供体内变异和疾病发病机制。为确保由
由于驻地协调员是可查找、可访问、可互操作和可重用的(FAIR),发展协调委员会将与驻地协调员密切合作,
建立和分享最佳实践,协调元数据注释,确保研究有足够的动力,
协助将高度完整的统一数据存入安全的储存库,并提供数据访问
标准化的分析流程。通过结构化本体的持续发展,
将使用新出现的最佳做法对驻地协调员数据集加以注释和统一。
DCC将支持新技术出现时的数据和分析的摄取和验证。
我们将支持生成兼容的集中式云数据处理工作流
与HubMAP、BRAIN和HCA等外部倡议合作。我们期望在一个
支持网络的LungMAP Commons将促进许多利益相关者之间的互动。这将定位
LungMAP DCC将成为数据共享、数据集成、协作和假设生成的中心,
研究肺部发育和疾病的科学家。
英文摘要
PROJECT SUMMARY
The LungMAP 2 initiative will create detailed molecular maps of the neonatal, pediatric and early adult human
lung to enable improved understanding of functionally and anatomically defined cell types. The Data
Coordination Center (DCC) will serve as the nexus of LungMAP 2's collective knowledge and activities. The
DCC is responsible for data collation, re-analysis, and integration; secondary annotation tracking; developing
tools to facilitate collection, sharing and data dissemination; operating a web resource for data, expertise, and
collaboration; and coordinating activities across the Research Centers (RCs) and Human Tissue Core. The
DCC will also facilitate literacy for investigator use of developed tools and best practices for analysis, data
provenance and metadata annotation, and engage the larger research community. To host the DCC, we have
assembled a multidisciplinary team with data network leadership, along with leaders in single-cell genomics,
image analysis, functional inference, and data re-utilization. The DCC leverages unique expertise at CCHMC,
UCSC, and the Broad Institute to interoperate pulmonary-oriented single-cell and high-resolution imaging data
with other atlas programs. We also include world-renowned pulmonary researchers into our leadership team to
ensure the data and knowledge we provide to the research community has the greatest scientific impact.
Collectively, we propose to accelerate the LungMAP scientific agenda by coordinating efforts across funded
Centers, the NIH, and the pulmonary research community; cross-validate, annotate, deposit and link
Consortium datasets and metadata that encompass molecular -omics, imaging, and associated structural
models; and enable sharing of data, results, and models within LungMAP and the research community.
The datasets and results derived from the RCs are expected to yield significant new insights into lung
maturation, intra-donor variation and disease pathogenesis. To ensure the underlying data produced by the
RCs is findable, accessible, interoperable and re-usable (FAIR), the DCC will work closely with the RCs to
establish and share best practices, coordinate metadata annotation, ensure studies are sufficiently powered,
assist with the deposition of harmonized data of high integrity to secure repositories, and provide data access
and standardized analysis workflows. Through the continued development of structured ontologies and
metadata frameworks, RC-derived datasets will be annotated and harmonized using emerging best practices.
The DCC will support the ingestion and validation of data and analysis from new technologies as they emerge.
We will support the generation of centralized, cloud-enabled data processing workflows that are compatible
with external initiatives such as HubMAP, BRAIN, and the HCA. We expect that providing these functions in a
web-enabled LungMAP Commons will promote interaction across many stakeholders. This will position the
LungMAP DCC to become a hub for data sharing, data integration, collaboration and hypothesis generation for
investigators studying lung development and disease.
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