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CC* Data Storage: Closing Caltech's data storage gap: from ad-hoc to well-managed stewardship of large-scale datasets

CC* Data Storage: Closing Caltech's data storage gap: from ad-hoc to well-managed stewardship of large-scale datasets
CC* 数据存储:缩小加州理工学院的数据存储差距:从大规模数据集的临时管理到管理良好的管理
批准号:
2322420
负责人:
Thomas Morrell
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-01 至 2025-07-31

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英文摘要
Caltech Library and the campus IT group, IMSS (Information Management Systems and Services) are collaborating to build research data storage and sharing infrastructure for a sustainable future. Two Open Storage Network (OSN) pods provide 2.2 TB of long-term storage for both Caltech researchers and the wider research community through the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program. OSN storage enables the existing CaltechDATA institutional repository to share larger files and empowers Caltech researchers to generate Findable, Accessible, Interoperable, and Reusable (FAIR) data. 15 campus research groups are committed to openly sharing over 600 TB of data, spanning a wide range of research areas including biological sequencing and imaging, astronomy, geosciences, and engineering.This rich data resource broadens participation in science by providing global access to raw data from cutting-edge microscopes, telescopes, and supercomputers that are currently limited to Caltech researchers. Training-based workforce development components include OSN instruction through basic cyberinfrastructure/programming workshops, in-class instruction, and training sessions that are open to all students, postdocs, faculty, staff, and collaborators. Support for a diverse group of student workers will engage them in the management of CaltechDATA and OSN storage. The open-source storage architecture serves as a model that other universities can deploy through open documentation. The combination of OSN and an open-source data repository such as InvenioRDM serves as a model of using open-source tools for institutional research data management and broadening participation.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.
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: