National Data Platform Pilot: Services for Equitable Open Access to Data

科学界通过研究、实验和观察产生了大量数据。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，对于充分发挥人工智能在负责任地推动国家和全球范围内重要科学和社会问题的解决方案方面的潜力至关重要。为了满足这些迫在眉睫的需求，国家数据平台(NDP)作为一个联合和可扩展的数据生态系统，利用现有的国家网络基础设施能力，促进协作、创新和公平使用数据。连接分布式计算和数据CI系统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，需要用于接收、索引、管理和数据分析的标准化流程和服务。通过“消除障碍”的数据民主化方法，NDP将需求评估、共同设计和多样性意识能力建设与随时可扩展的数据CI能力结合在一起，在整个国家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枢纽，NDP促进数据发现和使用，推动负责任的人工智能研发，促进科学理解，并支持决策、政策形成和社会影响。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，包括野地火灾，以及自然和实时危险检测和决策。这一努力也得到了国家气候发现云(NDC-C)资源的支持。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.