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CC* Data Storage: NRDStor: Nebraska Research Data Storage

CC* Data Storage: NRDStor: Nebraska Research Data Storage
CC* 数据存储:NRDStor:内布拉斯加州研究数据存储
批准号:
2232851
负责人:
Derek Weitzel
金额:
$49.62万
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:
已结题
起止时间:
2023-01-01 至 2024-12-31

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英文摘要
The Holland Computing Center (HCC) at the University of Nebraska (NU) has a long history of providing high-performance and high-throughput compute capabilities and the associated storage resources. A long-standing hurdle many NU researchers experience is the difference between their traditional work environments (i.e., desktop) and HCC computing environments, often incurring non-trivial data transferring across these environments. The Nebraska Research Data Storage (NRDStor) creates a cyberinfrastructure storage resource that unites the familiarity of a researcher’s desktop environment with HCC’s computing resources. NRDStor is accessible on HCC’s computing clusters, as well as mountable by researchers on their lab computers and laptops. Fast data transfers between research labs and NRDStor are enabled by leveraging recent upgrades to campus networking. Data stored on NRDStor may be shared (at the user’s discretion) via the Open Science Data Federation (OSDF). NRDStor is available to all HCC users, including the four primary NU campuses in Lincoln, Omaha, the Medical Center in Omaha, and Kearney. The science drivers of NRDStor span the diverse scientific communities that vary in practice from computational biology to wireless networking and encompass many domains in-between. By providing a united filesystem accessible to researchers on both their desktop environment and the clusters, NRDStor can lower a barrier of entry and create a more consistent research environment, lessening their time to science. Moreover, this effort can provide undergraduates with valuable professional development experience by incorporating them to assist HCC professionals in administrating the NRDStor resource and pursuing researcher needs.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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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: