Data Management and Analysis Core
Data Management and Analysis Core
批准号:
10559544
负责人:
Emily Hohmeiser Griffith
金额:
$16.74万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-03-03 至 2025-01-31
关键词:
AddressBioinformaticsBiological AssayCenter for Translational Science ActivitiesCollaborationsCommunicationComputer softwareComputing MethodologiesDataData AnalysesData CollectionData Coordinating CenterData Management ResourcesData ScienceData ScientistDatabasesDedicationsDerivation procedureDevelopmentDocumentationElementsEnvironmental HealthExperimental DesignsExtravasationFAIR principlesFamilyFosteringGoalsHealthHuman ResourcesIndividualInterdisciplinary CommunicationLeadershipLearningMethodsModelingMonitorOntologyPoly-fluoroalkyl substancesProcessPublic HealthPublishingQuality ControlReproducibilityResearchResearch PersonnelResourcesRunningSamplingScienceScientistSignal Recognition ParticleSolidStandardizationStructureSuperfundTrainingTraining ActivityVisualVisualizationWorkcheminformaticscomputational toxicologycomputer infrastructurecomputerized toolscomputing resourcesdata accessdata exchangedata integrationdata interoperabilitydata managementdata qualitydata sharingdata standardsdata streamsdesignenvironmental chemicalexperiencemembernext generationnovelpreventprogramsquality assurancesoftware developmenttranslational impactuser-friendlyvulnerable community
中文摘要
摘要
DMAC
我们的NC State SRP中心提案的数据管理和分析核心(DMAC)旨在集成
来自所有数据流的结果转化为真正的综合,促进与以下各项相关的环境和公共健康
和多氟烷基物质(PFAS)。DMAC在建立全中心中的第一项活动(具体目标)
数据管理和整合是制定一项全面数据管理计划的工作。
CDMP旨在实例化公平(可查找、可访问、可互操作、可重用)原则
管理中心数据,并用于协调制定个别项目/核心项目管理计划。一把钥匙
我们的CDMP元素是数据类型本体的派生,它认识到数据具有共同的
跨学科(以及特定于项目)边界的元素。这种联系的形式化
在名义上不同的数据流之间以及为每种类型分配单独的接触点之间
将DMAC建立为实施数据集成的资源。随后的DMAC具体目标
建立监测数据分析、通过共享数据结构进行协调分析和
相关软件,提供可视化和共享结果的手段,并协调以数据为中心的培训
活动。因此,DMAC将通过以下方式实现不可能仅从单一项目/核心进行综合
项目和核心之间的协调,促进数据共享和互操作性,并提供正式数据
质量保证和质量控制。
英文摘要
ABSTRACT
DMAC
The Data Management and Analysis Core (DMAC) of our NC State SRP Center proposal is designed to integrate
results from all data streams into a true synthesis that advances environmental and public health related to per-
and polyfluoroalkyl substances (PFAS). The first activity (Specific Aim) of the DMAC in establishing Center-wide
data management and integration was the development of a Comprehensive Data Management Plan (cDMP).
The cDMP was designed to instantiate FAIR (Findable, Accessible, Interoperable, Reusable) principles in
managing Center data and was used for the coordinated development of individual project/core DMPs. A key
element of our cDMP is the derivation of an ontology of data types, which recognizes that data have common
elements that cross disciplinary (as well as project-specific) boundaries. This formalization of connections
between nominally different data streams and assignment of individual points-of-contact for each type will
establish the DMAC as a resource for operationalizing data integration. Subsequent DMAC Specific Aims
establish processes for monitoring data analysis, coordinate analysis through shared data structures and
associated software, provide means for visualization and sharing of results, and coordinate data-centric training
activities. Thus, the DMAC will enable synthesis not possible from singular Projects/Cores alone, through
coordination amongst projects and cores, fostering data sharing and interoperability, and providing formal data
quality assurance and quality control.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金