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: $ 50万
• 依托单位: Kennesaw State University Research and Service Foundation
• 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
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2232816&HistoricalAwards=false
• 关键词: CC; Data; Storage; Volume; Infrastructure

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.

该项目开发了一个总可用存储容量约为4.3 PB的高容量存储系统，作为开放科学数据联合会（OSDF）的数据源，以支持肯尼索州立大学（KSU）两个校区的科学研究和教育活动。30%的存储空间将用于托管外部研究人员的数据集和共享KSU产生的数据集，以支持国家研究项目。该项目为KSU的研究人员和学生提供了一个存储平台，可以维护和共享他们的数据集，从而促进他们的合作，而不必担心删除文件，传输到备用存储设备，或者邮寄硬盘，同时将KSU的研究专业知识扩展到国家数据生态系统中。这种存储架构培养了24个科学，技术，工程和数学项目在KSU在广泛的学科。该项目还支持新的博士学位。在计算机科学，跨学科工程除了第一个博士课程。在美国的分析和数据科学课程沿着20个硕士学位，包括土木工程，机械工程，化学科学，计算机科学和网络安全。为了有效地促进存储系统，KSU的研究计算中心为他们的教师和学生组织了关于利用国家开放科学资源和可发现、可访问、可互操作和可重用（FAIR）原则的研讨会。这一努力将使肯尼索州立大学能够通过将其与OSDF连接来参与国家研究和发现。该奖项反映了NSF的法定使命，并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，被认为值得支持。