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
点击翻译按钮获取中文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Leveraging Longitudinal Data and Informatics Technology to Understand the Role of Bilingualism in Cognitive Resilience, Aging and Dementia
-
批准号:10583170
-
项目类别:
-
资助金额:$141.18万
-
财政年份:2023
-
负责人:HUA XU
-
依托单位:
Detecting synergistic effects of pharmacological and non-pharmacological interventions for AD/ADRD
-
批准号:10501245
-
项目类别:
-
资助金额:$78.15万
-
财政年份:2022
-
负责人:HUA XU
-
依托单位:
Interactive machine learning methods for clinical natural language processing
-
批准号:8818096
-
项目类别:
-
资助金额:$55.84万
-
财政年份:2010
-
负责人:HUA XU
-
依托单位:
Interactive machine learning methods for clinical natural language processing
-
批准号:9132834
-
项目类别:
-
资助金额:$46.34万
-
财政年份:2010
-
负责人:HUA XU
-
依托单位:
Real-time Disambiguation of Abbreviations in Clinical Notes
-
批准号:8077875
-
项目类别:
-
资助金额:$37.4万
-
财政年份:2010
-
负责人:HUA XU
-
依托单位:
Real-time Disambiguation of Abbreviations in Clinical Notes
-
批准号:7866149
-
项目类别:
-
资助金额:$38.75万
-
财政年份:2010
-
负责人:HUA XU
-
依托单位:
Real-time Disambiguation of Abbreviations in Clinical Notes
-
批准号:8589822
-
项目类别:
-
资助金额:$23.79万
-
财政年份:2010
-
负责人:HUA XU
-
依托单位:
Real-time Disambiguation of Abbreviations in Clinical Notes
-
批准号:8305149
-
项目类别:
-
资助金额:$12.9万
-
财政年份:2010
-
负责人:HUA XU
-
依托单位:
An in-silico method for epidemiological studies using Electronic Medical Records
-
批准号:8110041
-
项目类别:
-
资助金额:$25.23万
-
财政年份:2009
-
负责人:HUA XU
-
依托单位:
An in-silico method for epidemiological studies using Electronic Medical Records
-
批准号:7726747
-
项目类别:
-
资助金额:$27.33万
-
财政年份:2009
-
负责人:HUA XU
-
依托单位:
An insilico method for epidemiological studies using Electonic Medical Records
-
批准号:8589201
-
项目类别:
-
资助金额:$19.58万
-
财政年份:2009
-
负责人:HUA XU
-
依托单位:
An in-silico method for epidemiological studies using Electronic Medical Records
-
批准号:8298614
-
项目类别:
-
资助金额:$5.66万
-
财政年份:2009
-
负责人:HUA XU
-
依托单位:
海外基金