课题基金 / 基金详情

CC* Data Storage: High Volume Data Storage Infrastructure for Scientific Research and Education at Kennesaw State University Shared as Open Science Data Federation Data Origin

CC* Data Storage: High Volume Data Storage Infrastructure for Scientific Research and Education at Kennesaw State University Shared as Open Science Data Federation Data Origin
CC* 数据存储:肯尼索州立大学用于科学研究和教育的大容量数据存储基础设施,作为开放科学数据联盟数据源共享
批准号:
2232816
负责人:
Ramazan Aygun
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-01 至 2024-08-31

项目摘要

项目成果

Ramazan Aygun的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
This project develops a high-capacity storage system with around 4.3PB overall usable storage as an Open Science Data Federation (OSDF) data origin to support scientific research and education activities on both campuses of Kennesaw State University (KSU). 30% of the storage is to be allocated for hosting datasets of external researchers and sharing KSU spawned datasets to empower national research projects.The project enables a storage platform for KSU’s researchers and students to maintain and share their datasets thriving their collaborations without worrying about deleting files, transferring to alternate storage devices, or mailing hard drives while augmenting KSU’s research expertise into the national data ecosystem. This storage architecture cultivates twenty-four science, technology, engineering, and mathematics projects at KSU in a broad range of disciplines. The project also supports new Ph.D. programs in Computer Science, Interdisciplinary Engineering in addition to the first Ph.D. program in USA on Analytics and Data Science along with 20 master’s degrees in areas including civil engineering, mechanical engineering, chemical sciences, computer science, and cybersecurity. To facilitate the storage system effectively, KSU’s Center for Research Computing organizes workshops for their faculty and students on utilizing national open science resources and findable, accessible, interoperable, and reusable (FAIR) principles.This effort will enable Kennesaw State University to participate in national research and discoveries by connecting it to OSDF. This integration into an open science network will present national technical services as KSU develops research computing and data expertise while cyberinfrastructure professionals at KSU adapt the state-of-the-art storage technologies.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
III-COR-Small: Developing Novel Mosaic Generation Methods for Object-Based Multimedia Information Systems
  • 批准号:
    0812307
  • 项目类别:
    Standard Grant
  • 资助金额:
    $18.94万
  • 财政年份:
    2008
  • 负责人:
    Ramazan Aygun
  • 依托单位:
国内基金
海外基金
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: