Engagement and outreach to achieve a FAIR data ecosystem for the BICAN
Engagement and outreach to achieve a FAIR data ecosystem for the BICAN
批准号:
10523908
负责人:
HUA XU
金额:
$97.37万
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:
2022-09-01 至 2027-06-30
关键词:
AddressAgreementAreaAtlasesAutomobile DrivingBRAIN initiativeBig DataBiometryBrainCatalogingCellsCollaborationsCommunicationCommunitiesDataData AnalyticsData Coordinating CenterData DiscoveryData ScienceData ScientistData SetDevelopmentDisciplineDiseaseElementsEngineeringEnsureEquipment and supply inventoriesFAIR principlesFeedbackGoalsHealthHumanImageIndividualInformaticsIon ChannelKnowledgeLogisticsMachine LearningMetadataMicroscopyModalityMonitorNeurologicNeurosciencesOnline SystemsOntologyPositioning AttributeProceduresProcessRADx RadicalResearch PersonnelResource DevelopmentResource SharingResourcesRoleSecureServicesSliceSpeedStructureSubgroupSynapsesSystemTechnologyTerminologyTestingTimeUnited States National Institutes of HealthValidationWomanWorkbasebrain cellbrain healthcareercell typecloud basedcomputerized data processingdashboarddata complexitydata ecosystemdata formatdata modelingdata resourcedata reusedata standardsdata toolsdesigndigitalexperiencegigabyteimprovedknowledge basemembermetadata standardsmultidisciplinarymultiplex assaynanometernervous system disorderneuroinformaticsoutreachpetabyteportabilityprogramsreceptorskillssynergismtoolusabilityuser-friendlyweb portal
中文摘要
作为Brain 2.0的一部分,大脑倡议细胞图谱网络(BICA)预计将促进基本知识和使能技术,以分类人类脑细胞类型,了解其组织原则,并提供开放获取的数字脑细胞参考图谱,强调健康和疾病中的细胞多样性。应对Brain 2.0的巨大挑战需要科学界合作,并在神经科学以外的不同学科中挖掘巨大的技能和知识。BICAN的生物统计、信息学和参与协调股(CUBIE)旨在为获奖者网络、NIH和科学界提供有效的协调利益。要实现雄心勃勃的BICA目标,Cubie需要预见和解决在协调时间敏感型管理活动、降低数据复杂性和工具可扩展性以及支持多样化服务需求方面的潜在挑战。我们的团队在领导国家规模的大型财团项目方面经验丰富,如RADX-RAD数据协调中心、BioCADDIE数据发现项目、CTSA的信息核心、国家神经数据资源。我们拥有知识、技能和资源来启动Cubie项目和外联元素(CUBIE4),并与BICAN网络合作,通过三个方面驯服数据的结构和组织复杂性,并推动公平(可查找、可访问、可互操作、可重复使用)的数据生态系统。行政方面将确保获奖者之间的有效沟通,以最大限度地发挥协同作用,促进整个大脑倡议的协作和资源利用。我们将为网络成员提供支持并建立流程,使其遵守数据模型、术语标准、数据格式和结构,符合公平数据原则。我们将使用基于角色的访问控制和尖端的内容管理系统,为BICAN网络推出、维护和加强一个门户网站和一个数据仪表板。技术方面将与其他Cubie元素和Bcan网络获奖者合作,为不同的大脑数据建立元数据标准;应用与数据可解释性和可积性相关的最佳实践;并开发基于云的技术测试平台,为探索、评估和迭代改进通过Bcan开发的工具提供沙盒。服务方面将帮助BICAN获奖者开发数据处理和分析(包括机器学习)工具,以确保它们是可移植的、可扩展的和用户友好的。特别是,我们的生物统计团队将提供数据呈现和分析支持,为Cubie和Bcan的利益相关者提供知情和及时的反馈。我们在多学科知识、妇女和职业生涯早期研究人员、神经疾病和脑健康观点以及机构包容性资源方面做出了贡献。因此,CUBIE4团队在推进Bcan的总体目标方面具有得天独厚的优势。
英文摘要
As a part of BRAIN 2.0, the BRAIN Initiative Cell Atlas Network (BICAN) is expected to advance fundamental knowledge and enabling technology for classifying human brain cell types, understanding their organizational principles, and providing open-access digital brain cell reference atlases, emphasizing cell diversity in health and disease. Undertaking the grand challenge of BRAIN 2.0 requires the scientific community to collaborate and tap the tremendous skill and knowledge in a diverse set of disciplines outside of neuroscience. BICAN's Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE) is designed to provide effective coordination benefits to the awardee network, the NIH, and the scientific community. Advancing the ambitious BICAN goals requires CUBIE to anticipate and address potential challenges in coordinating time-sensitive management activities, mitigating data complexity and tool scalability, and supporting diverse service needs. Our team is highly experienced in leading large consortia projects at national scale, such as RADx-rad Data Coordinating Center, bioCADDIE data discovery project, informatics cores for the CTSA, the national neurological data resources. We have the knowledge, skill set, and resources to launch the Engagement and Outreach element for CUBIE (CUBIE4) and work with the BICAN network in taming the structural and organizational complexity of data and driving a FAIR (Findable, Accessible, Interoperable, Reusable) data ecosystem through three facets. The Administration Facet will ensure effective communications among the awardees to maximize synergy, facilitate collaboration and resource utilization across the BRAIN Initiative. We will provide support and establish processes for network members to adhere to data models, terminology standards, data formats and structures, conforming to FAIR data principles. We will launch, maintain and enhance a Web Portal and a Data Dashboard for the BICAN network, using role-based access control and a cutting-edge content-management system. The Technology Facet will work with other CUBIE elements and BICAN network awardees to establish metadata standards for diverse brain data; apply best practices related to data interpretability and integrability; and develop a cloud-based technology testing platform to provide sandboxes for exploring, evaluating and iteratively improving tools developed through BICAN. The Service Facet will assist BICAN awardees in their development of data processing and analytics (including machine learning) tools to ensure that they are portable, scalable, and user-friendly. In particular, our biostatistics team will provide data rendering and analytics support to provide informed and timely feedback to CUBIE and the BICAN stakeholders. We contribute to diversity in multidisciplinary knowledge, women and early-career investigators, neurological diseases and brain health perspectives, and institutional inclusivity resources. Therefore, the CUBIE4 team is uniquely well-positioned to advance the overarching goals of BICAN.
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