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、实验和观察产生了大量的数据。有效管理这些数据以支持公平的发现、访问、分析、沟通和共享对于研究、创新和科学驱动的决策至关重要。此外,广泛和公平地访问各种人工智能(AI)就绪的数据存储库对于充分发挥AI在国家和全球范围内负责任地推进重要科学和社会问题解决方案的潜力至关重要。为了满足这些迫切的需求,国家数据平台(NDP)作为一个联合的可扩展数据生态系统,利用现有的国家网络基础设施功能,促进协作、创新和公平的数据使用。将分布式计算和数据CI系统连接起来,以提供对来自不同的、通常是孤立的存储库和其他数据源的数据的开放访问,需要一个标准化的流程和服务,用于摄取、索引、策展和数据分析。通过“消除障碍”的方法来实现数据民主化,NDP将需求评估,共同设计和多样性意识能力建设与准备规模化的数据CI能力相结合,在全国CI生态系统中提供数据和知识管理服务。作为互联数据中心的国家中心,NDP促进数据发现和使用,推动负责任的人工智能研究和开发,促进科学理解,并支持决策,政策制定和社会影响。NDP专注于气候和相关研究领域的几个案例研究,以发展以数据为中心的工作流程,包括野火,自然和实时灾害检测和决策这项工作也得到了国家气候发现云(NDC-C)的支持。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查进行评估,被认为值得支持的搜索.
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
Sex Differences in the Variability of Physical Activity Measurements Across Multiple Timescales Recorded by a Wearable Device: Observational Retrospective Cohort Study
可穿戴设备记录的多时间尺度下身体活动测量变异性的性别差异:观察性回顾性队列研究
- DOI:
10.2196/66231 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:6.000
- 作者:
Kristin J Varner;Lauryn Keeler Bruce;Severine Soltani;Wendy Hartogensis;Stephan Dilchert;Frederick M Hecht;Anoushka Chowdhary;Leena Pandya;Subhasis Dasgupta;Ilkay Altintas;Amarnath Gupta;Ashley E Mason;Benjamin L Smarr - 通讯作者:
Benjamin L Smarr
Correction: Variability of temperature measurements recorded by a wearable device by biological sex
- DOI:
10.1186/s13293-023-00568-x - 发表时间:
2023-11-13 - 期刊:
- 影响因子:5.100
- 作者:
Lauryn Keeler Bruce;Patrick Kasl;Severine Soltani;Varun K. Viswanath;Wendy Hartogensis;Stephan Dilchert;Frederick M. Hecht;Anoushka Chowdhary;Claudine Anglo;Leena Pandya;Subhasis Dasgupta;Ilkay Altintas;Amarnath Gupta;Ashley E. Mason;Benjamin L. Smarr - 通讯作者:
Benjamin L. Smarr
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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