National Data Platform Pilot: Services for Equitable Open Access to Data
国家数据平台试点:公平开放数据访问服务
基本信息
- 批准号:2333609
- 负责人:
- 金额:$ 599.92万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2026-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The scientific community generates vast amounts of data through research, experiments, and observations. Effective management of this data to support equitable discovery, access, analysis, communication, and sharing is critical for research, innovation, and science-driven decision making. Furthermore, broad and equitable access to diverse artificial intelligence (AI)-ready data repositories is crucial to realize the full potential of AI in responsibly advancing solutions to important scientific and societal problems at national and global scale. In response to these immediate needs, the National Data Platform (NDP) serves as a federated and extensible data ecosystem that fosters collaboration, innovation, and equitable data use, leveraging existing national Cyberinfrastructure capabilities.Connecting distributed computing and data CI systems to provide open access to data from disparate, often siloed repositories and other data sources necessitates a standardized process and services for ingestion, indexing, curation and data analysis. Through a “removing-the-barriers”' approach to democratizing data, NDP combines needs assessment, co-design, and diversity-aware capacity building with ready-for-scale data CI capabilities, offering data and knowledge management services across the national CI ecosystem. As a national hub of interconnected data hubs, NDP facilitates data discovery and usage, drives responsible AI research and development, fosters scientific understanding, and supports decision-making, policy formation and societal impact. NDP focuses on several case studies in climate and related research areas to evolve data-centric workflows, including wildland fire, and natural and real-time hazards detection and decision makingThis effort is also supported by National Discovery Cloud for Climate (NDC-C) resources.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
科学界通过研究,实验和观察产生大量数据。有效管理这些数据以支持公平的发现,访问,分析,交流和共享对于研究,创新和科学驱动的决策至关重要。此外,广泛而公平地访问潜水员人工智能(AI)的数据存储库对于实现AI在国家和全球规模上对重要科学和社会问题负责的解决方案的全部潜力至关重要。 In response to these immediate needs, the National Data Platform (NDP) serves as a federated and extensible data ecosystem that fosters collaboration, innovation, and equitable data use, leveraging existing national Cyberinfrastructure capabilities.Connecting distributed computing and data CI systems to provide open access to data from disparate, often siloed repositories and other data sources necessary for a standardized process and services for ingestion,索引,策展和数据分析。通过“消除驻狂”来使数据民主化的方法,NDP结合了需求评估,共同设计和多样性感知能力的能力构建与现成的数据CI能力,在国家CI生态系统中提供数据和知识管理服务。作为互连数据中心的全国枢纽,NDP收藏夹数据发现和用法,推动了负责的AI研发,促进科学理解,并支持决策,政策形成和社会影响。 NDP focuses on several case studies in climate and related research areas to evolve data-centric workflows, including wildland fire, and natural and real-time hazards detection and decision making This effort is also supported by National Discovery Cloud for Climate (NDC-C) resources.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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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Ilkay Altintas其他文献
Ilkay Altintas的其他文献
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{{ truncateString('Ilkay Altintas', 18)}}的其他基金
Student and Early Career Support: 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023)
学生和早期职业支持:第 23 届 IEEE/ACM 国际集群、云和互联网计算研讨会 (CCGrid 2023)
- 批准号:
2317547 - 财政年份:2023
- 资助金额:
$ 599.92万 - 项目类别:
Standard Grant
Planning: FIRE-PLAN: Community Building Toward an Immersive Forest Network to Catalyze Wildland Fire Solutions and Training
规划:FIRE-PLAN:建立沉浸式森林网络的社区,以促进荒地火灾解决方案和培训
- 批准号:
2341120 - 财政年份:2023
- 资助金额:
$ 599.92万 - 项目类别:
Standard Grant
Collaborative Research: CyberTraining: Implementation: Medium: FOUNT: Scaffolded, Hands-On Learning for a Data-Centric Future
协作研究:网络培训:实施:媒介:FOUNT:支架式实践学习,打造以数据为中心的未来
- 批准号:
2230081 - 财政年份:2022
- 资助金额:
$ 599.92万 - 项目类别:
Standard Grant
NSF Convergence Accelerator – Track D: Artificial Intelligence and Community Driven Wildland Fire Innovation via a WIFIRE Commons Infrastructure for Data and Model Sharing
NSF 融合加速器 — 轨道 D:通过 WIFIRE 共享基础设施实现数据和模型共享,人工智能和社区驱动的野地火灾创新
- 批准号:
2134904 - 财政年份:2021
- 资助金额:
$ 599.92万 - 项目类别:
Cooperative Agreement
NSF Convergence Accelerator Track D: Artificial Intelligence and Community Driven Wildland Fire Innovation via a WIFIRE Commons Infrastructure for Data and Model Sharing
NSF 融合加速器轨道 D:通过 WIFIRE 共享基础设施实现数据和模型共享,人工智能和社区驱动的野地火灾创新
- 批准号:
2040676 - 财政年份:2020
- 资助金额:
$ 599.92万 - 项目类别:
Standard Grant
Collaborative Research: Framework: Software: NSCI : Computational and Data Innovation Implementing a National Community Hydrologic Modeling Framework for Scientific Discovery
合作研究:框架:软件:NSCI:计算和数据创新实施国家社区水文建模框架以促进科学发现
- 批准号:
1835855 - 财政年份:2018
- 资助金额:
$ 599.92万 - 项目类别:
Standard Grant
Hazards SEES Type 2: WIFIRE: A Scalable Data-Driven Monitoring, Dynamic Prediction and Resilience Cyberinfrastructure for Wildfires
Hazards SEES 类型 2:WIFIRE:可扩展的数据驱动型野火监控、动态预测和弹性网络基础设施
- 批准号:
1331615 - 财政年份:2013
- 资助金额:
$ 599.92万 - 项目类别:
Continuing Grant
EAGER: Interoperability Testbed - Assessing a Layered Architecture for Integration of Existing Capabilities
EAGER:互操作性测试台 - 评估用于集成现有功能的分层架构
- 批准号:
1239623 - 财政年份:2012
- 资助金额:
$ 599.92万 - 项目类别:
Standard Grant
ABI Development: bioKepler: A Comprehensive Bioinformatics Scientific Workflow Module for Distributed Analysis of Large-Scale Biological Data
ABI 开发:bioKepler:用于大规模生物数据分布式分析的综合生物信息学科学工作流程模块
- 批准号:
1062565 - 财政年份:2011
- 资助金额:
$ 599.92万 - 项目类别:
Continuing Grant
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