Promoting Institutional Communities for Open Data Science
促进开放数据科学的机构社区
基本信息
- 批准号:9246882
- 负责人:
- 金额:$ 8.25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-30 至 2018-07-31
- 项目状态:已结题
- 来源:
- 关键词:AchievementAwardBig DataBig Data to KnowledgeBiomedical ResearchCaliforniaCollaborationsCommunicationCommunitiesConsensusControlled VocabularyDataData ScienceDocumentationE-learningEcosystemEducational BackgroundEducational workshopElementsEnsureEvaluationFeedbackFuture GenerationsGenerationsGenomicsGroup ProcessesHarvestInstitutesInternetKnowledgeLearningMapsMetadataMethodsModelingOntologyPathway AnalysisPatient Self-ReportPositioning AttributeProcessPublic Health InformaticsRecording of previous eventsResearchResearch InfrastructureResearch PersonnelResearch TrainingResourcesRotationSemanticsServicesStatistical ModelsStudentsSupport SystemSystemTechniquesTechnologyTrainingTraining ActivityTraining ProgramsTraining SupportTraining and EducationUnited States National Institutes of HealthUniversitiesUpdateWorkbasecareer developmentcomputer sciencecostcrowdsourcingdata miningdesigneducational atmosphereempoweredexperienceindexinginstrumentationinterestlearning outcomemembernovelonline courseopen dataoutreachprogramspublic health relevancesocial mediasuccesstoolvirtualvirtual realityweb portalweb siteworking group
项目摘要
DESCRIPTION (provided by applicant): In our rapidly evolving information era, methods for handling large quantities of data obtained in biomedical research have emerged as powerful tools for confronting critical research questions, with significant impacts in diverse domains ranging from genomics to health informatics to environmental research. The NIH's Big Data to Knowledge (BD2K) Training Consortium is expected to empower current and future generations of researchers with a comprehensive understanding of the data science ecosystem: the ability to explore, prepare, analyze, visualize, and interpret Big Data. To these ends, we propose a novel Training Coordinating Center (TCC) to coordinate the diverse activities occurring within the BD2K Training Consortium into a synergistic training effort. The TCC will create an inclusive and collaborative virtual environment - entitled "Big Data U" - serving trainees from a wide spectrum of educational backgrounds and scientific domains. Big Data U will make personalized educational resources easy accessible and facilitate novel research collaborations through scientific rotations. We will harvest the web to automatically identify, model, and incorporate online resources into an Educational Resource Discovery Index (ERuDIte) and a Big Data U Knowledge Map. This unique system will alleviate the burden of sifting through hundreds of educational resources and searching across multiple research and training program websites, allowing users to easily determine which resources are didactically significant and correspond to the appropriate scientific domain of interest, level of education, and learning objective. Over the
long term, our efforts will cultivate a diverse network of data scientists that can propagate their
knowledge and experience for generations to come. Our PI and team have a demonstrated commitment to training in biomedical data science. The University of Southern California is ideally suited to host this NIH BD2K effort, having a strong history of data science training and recently founded two new masters programs of relevance to Big Data biomedicine. The TCC is the logical extension of our outstanding track record in data science, and we will leverage our comprehensive experience and infrastructure in developing the TCC.
描述(由申请人提供):在我们快速发展的信息时代,处理生物医学研究中获得的大量数据的方法已成为应对关键研究问题的强大工具,在从基因组学到健康信息学再到环境研究的各个领域产生了重大影响。NIH的大数据到知识(BD 2K)培训联盟预计将使当前和未来几代研究人员全面了解数据科学生态系统:探索,准备,分析,可视化和解释大数据的能力。为此,我们提出了一个新的培训协调中心(TCC),以协调BD 2K培训联盟内发生的各种活动,形成协同的培训工作。TCC将创建一个包容性和协作性的虚拟环境-名为“大数据U”-为来自广泛教育背景和科学领域的学员提供服务。大数据U将使个性化的教育资源易于访问,并通过科学轮换促进新颖的研究合作。我们将收获网络,以自动识别,建模,并将在线资源纳入教育资源发现索引(ERuDIte)和大数据U知识地图。这个独特的系统将减轻筛选数百种教育资源和在多个研究和培训项目网站上搜索的负担,使用户能够轻松确定哪些资源具有教学意义,并与感兴趣的适当科学领域,教育水平和学习目标相对应。来
从长远来看,我们的努力将培养一个多样化的数据科学家网络,
知识和经验,代代相传。我们的PI和团队致力于生物医学数据科学的培训。南加州大学非常适合举办这项NIH BD 2K项目,它在数据科学培训方面有着悠久的历史,最近还成立了两个与大数据生物医学相关的新硕士项目。TCC是我们在数据科学方面出色记录的逻辑延伸,我们将利用我们在开发TCC方面的全面经验和基础设施。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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John Darrell Van Horn其他文献
Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics?
女运动员运动脑震荡的评估:神经信息学的作用?
- DOI:
10.48550/arxiv.2401.13045 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Rachel Edelstein;Sterling Gutterman;Benjamin T. Newman;John Darrell Van Horn - 通讯作者:
John Darrell Van Horn
聴覚野の区分とトノトピー
听觉皮层分割和音调
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
John Darrell Van Horn;Peter Bandettini;Kang Cheng;Gary;F. Egan;V. Andrew Stenger;Stephen Strother;Arthur W. Toga;宋文杰 - 通讯作者:
宋文杰
New hirizons for the next era of human brain imaging, cognitive, and behavioral resarch : Pacific Rim interactivity
人类大脑成像、认知和行为研究下一个时代的新视野:环太平洋互动性
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
John Darrell Van Horn;Peter Bandettini;Kang Cheng;Gary;F.Egan;V. Andrew Stenger;Stephen Strother;Arthur W. Toga - 通讯作者:
Arthur W. Toga
John Darrell Van Horn的其他文献
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{{ truncateString('John Darrell Van Horn', 18)}}的其他基金
Biomedical Data Science Innovation Labs: An Intensive Research Project Development Program
生物医学数据科学创新实验室:密集研究项目开发计划
- 批准号:
10264799 - 财政年份:2020
- 资助金额:
$ 8.25万 - 项目类别:
Big Data U: Empowering Modern Biomedicine via Personalized Training
大数据U:通过个性化培训赋能现代生物医学
- 批准号:
9044624 - 财政年份:2015
- 资助金额:
$ 8.25万 - 项目类别:
BD2K TCC International Interactions and Frameworks Big Data Training Standards
BD2K TCC 国际交互和框架大数据培训标准
- 批准号:
9243872 - 财政年份:2015
- 资助金额:
$ 8.25万 - 项目类别:
New Horizons in Human Brain Imaging: A Focus on Brain Networks and Connectivity
人脑成像的新视野:关注大脑网络和连接性
- 批准号:
7911586 - 财政年份:2010
- 资助金额:
$ 8.25万 - 项目类别:
Informatics Meta-Spaces for the Exploration of Human Neuroanatomy
用于探索人类神经解剖学的信息学元空间
- 批准号:
7937028 - 财政年份:2009
- 资助金额:
$ 8.25万 - 项目类别:
Informatics Meta-Spaces for the Exploration of Human Neuroanatomy
用于探索人类神经解剖学的信息学元空间
- 批准号:
7810401 - 财政年份:2009
- 资助金额:
$ 8.25万 - 项目类别:
New Horizons in Human Brain Imaging: Support for Research Student Participation
人脑成像的新视野:支持研究生参与
- 批准号:
7540765 - 财政年份:2008
- 资助金额:
$ 8.25万 - 项目类别:
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