A Secure Hub for Access, Reliability, and Exchange of Data (SHARED)

用于访问、可靠性和数据交换的安全中心（共享）

• 批准号: 2346746
• 负责人: Torsten Reimer
• 金额: $ 50万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2346746&HistoricalAwards=false
• 关键词: Secure; Hub; Access; Reliability; Exchange

The University of Chicago's Secure Hub for Access, Reliability, and Exchange of Data, (SHARED), serves as a resource for data-driven research and nucleus of an integrated data management platform. It provides federated data storage for projects across disciplines to facilitate collaboration and best practice in data management. It is integrated with UChicago's institutional repository for data sharing according to FAIR principles. SHARED is led by the University Library and Research Computing Center, with collaboration from University Information Technology Services, the Data Sciences Institute, and the Physical Sciences Division. Aligned with the university's data lifecycle strategy for collection, analysis, publication, distribution, and long-term archiving, it ensures access to data and their integration into broader ecosystems. SHARED caters to diverse scientific applications spanning cosmology, particle physics, linguistics, and psychology. Through SHARED’s 3.9PB ceph-based storage platform, the project supports projects focused on dark matter searches, physics beyond the Standard Model, simulations of cosmic reionization, surveys of cosmic microwave background radiation, and kinetic simulations of astrophysical plasmas. Additionally, it preserves valuable neural and linguistic data, contributing to understanding cognitive processes and language diversity. The SHARED project promotes interdisciplinary research and provides educational opportunities in data science through collaborations with minority-serving institutions and K-12 student engagement. Leveraging partnerships like the University of Chicago and Chicago City Colleges Data Science Preceptorship program, it enhances workforce diversity and fosters data-related education.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.

芝加哥大学的数据访问、可靠性和交换安全中心 (SHARED) 是数据驱动研究的资源和集成数据管理平台的核心，它为跨学科的项目提供联合数据存储，以促进协作。它与芝加哥大学的数据共享机构存储库集成，由大学图书馆和研究计算中心主导，并与大学信息技术服务部、数据科学研究所和大学合作。它与大学的数据生命周期战略相一致，包括收集、分析、出版、分发和长期归档，确保数据的访问及其与更广泛的生态系统的集成，满足宇宙学、粒子物理学等多种科学应用的需求。通过 SHARED 基于 ceph 的 3.9PB 存储平台，该项目支持专注于暗物质搜索、超越标准模型的物理、宇宙再电离模拟、宇宙再电离调查等项目。此外，它还保留了宝贵的神经和语言数据，有助于理解认知过程和语言多样性，并通过与少数族裔服务的合作促进跨学科研究并提供数据科学的教育机会。它利用芝加哥大学和芝加哥城市学院数据科学指导计划等合作伙伴关系，增强劳动力多样性并促进数据相关教育。该奖项反映了 NSF 的法定使命，并具有通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。