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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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中文摘要
翻译
加州理工学院图书馆和校园IT集团IMSS(信息管理系统和服务)正在合作,为可持续的未来建立研究数据存储和共享基础设施。两个开放存储网络(OSN)吊舱通过高级网络基础设施协调生态系统:服务支持(ACCESS)计划为加州理工学院的研究人员和更广泛的研究社区提供2.2 TB的长期存储。OSN存储使现有的CaltechDATA机构存储库能够共享更大的文件,并使加州理工学院的研究人员能够生成可查找、可扩展、可互操作和可重用(FAIR)的数据。15个校园研究小组致力于公开共享超过600 TB的数据,涵盖广泛的研究领域,包括生物测序和成像,天文学,地球科学和工程学。这一丰富的数据资源通过提供全球访问尖端显微镜,望远镜和超级计算机的原始数据来扩大科学参与,这些数据目前仅限于加州理工学院的研究人员。基于培训的劳动力发展组件包括通过基本的网络基础设施/编程研讨会,课堂教学和培训课程的OSN指令,这些课程对所有学生,博士后,教师,员工和合作者开放。对不同学生工作者群体的支持将使他们参与CaltechDATA和OSN存储的管理。开源存储架构作为其他大学可以通过开放文档部署的模型。OSN和开源数据存储库(如InvenioRDM)的结合,是使用开源工具进行机构研究数据管理和扩大参与的典范。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。
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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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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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: