CC* Storage: The South Dakota Data Store, a Modular, Affordable Platform to Enable Data-Intensive Research and Education

CC* 存储：南达科他州数据存储，一个模块化、经济实惠的平台，可实现数据密集型研究和教育

• 批准号: 1659282
• 负责人: Douglas Jennewein
• 金额: $ 19.82万
• 依托单位: University of South Dakota Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-03-01 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1659282&HistoricalAwards=false
• 关键词: CC; Storage; South; Dakota; Data

Expanding opportunities for data-driven research and increasing requirements for data management in sponsored research have resulted in a growing need for retention of both long-term archival data sets that are infrequently accessed, as well as 'active archives' of data that are accessed periodically to revisit, revise, and share experimental results. For this project, the University of South Dakota will acquire, deploy, and maintain the South Dakota Data Store (SDDS), a network-accessible, sharable, multi-campus storage resource integrated with existing campus cyberinfrastructure. Initially, SDDS will support twelve STEM projects across eight departments at four institutions in South Dakota, including 30 faculty, 43 postdocs, and 303 students. SDDS will provide South Dakota researchers with a centralized, efficient, high-performance platform for both archival of and shared access to large quantities of electronic data. SDDS includes two major services. The Sharing Tier provides high-reliability, high-availability, network-accessible storage for research requiring persistent access to large quantities of data. The Archival Tier provides long-term offsite archival-grade storage. SDDS will serve all faculty, staff, postdocs, students, and graduate students at the University of South Dakota. Through a partnership of multiple institutions, SDDS will also serve researchers at South Dakota State University, Black Hills State University, and the South Dakota School of Mines and Technology, with access open to further community adoption by all educational and not-for-profit noncommercial researchers. The project leverages prior investments at the University of South Dakota and South Dakota State University in dedicated Science DMZ networks. All participants will be able to access SDDS via existing 10Gb connectivity, and end-to-end performance measurement is ensured using existing PerfSONAR deployments at all involved institutions.

扩大的机会，数据驱动的研究和不断增加的要求，数据管理赞助的研究，导致在一个不断增长的需要，保留长期的档案数据集，不经常访问，以及“活动档案”的数据，定期访问，重新审视，修订和共享实验结果。 对于该项目，南达科他州大学将收购、部署和维护南达科他州数据存储（SDDS），这是一种可通过网络访问、可共享的多校区存储资源，与现有的校园网络基础设施集成。 最初，SDDS将支持南达科他州四个机构八个部门的十二个STEM项目，包括30名教师，43名博士后和303名学生。 SDDS将为南达科他州的研究人员提供一个集中、高效、高性能的平台，用于存档和共享访问大量电子数据。SDDS包括两项主要服务。共享层为需要持续访问大量数据的研究提供了高可靠性、高可用性、网络可访问的存储。归档层提供长期的异地归档级存储。 SDDS将服务于南达科他州大学的所有教职员工、博士后、学生和研究生。通过与多个机构的合作，SDDS还将为南达科他州州立大学、黑山州立大学和南达科他州矿业与技术学院的研究人员提供服务，并向所有教育和非营利非商业研究人员开放，供社区进一步采用。 该项目利用了南达科他州大学和南达科他州州立大学在专用科学DMZ网络中的先前投资。 所有参与者都将能够通过现有的10 Gb连接访问SDDS，并确保在所有参与机构使用现有的PerfSONAR部署进行端到端性能测量。