MRI: Acquisition of a Data Lifecycle Instrument (DaLI) for Management and Sharing of Data from Instruments and Observations

来自仪器和观测的数据正在以越来越快的速度产生，这导致数据管理和计算方面的挑战增加。我们应对这些挑战是至关重要的，因为这些大型数据集使许多科学学科能够实现大规模突破。仪器和观测每天可以产生数兆字节的数据，这些数据通常必须从偏远地点、外勤站或核心设施传输到用户的家庭系统进行存储和分析。为了应对这些挑战，芝加哥大学(UChicago)将购买并运营一台数据生命周期仪器(DALI)，以管理和共享来自芝加哥大学和海洋生物实验室(MBL)的仪器和观测数据。DALI将简化研究人员的数据管理，允许他们在单一工作流程中获取、传输、处理和共享来自仪器和观测的数据，并与更大的用户社区共享他们的数据。DALI将与芝加哥大学、MBL和合作的少数族裔服务机构合作，作为一种培训工具，为学生应对21世纪的数据挑战做好准备，并将支持几个外展项目。用于管理和共享来自仪器和观测的数据的数据生命周期仪器(DALI)将使研究人员能够(A)在统一的工作流程中获取、传输、处理和存储来自实验和观测的数据，(B)管理整个生命周期的数据收集，以及(C)共享和发布数据。达利办事处还将(D)加强外联和教育机会，(E)为其他机构提供可复制的模式。DALI将为数据管理和共享创建一个可扩展、无缝和可复制的基础设施，以支持新的变革性科学，并使研究人员能够实施数据管理方面的最佳实践。DALI平台将由四个资源池组成：一个用于数据前处理和后处理的高性能计算资源、一个高性能存储池、一个低成本存储池和一个磁带备份池。除了硬件，DALI还设计了软件工具，为数据生命周期管理和与园区和国家网络基础设施的集成创建直观的界面。

Data from instruments and observations are being generated at increasing rates which leads to increased challenges in data management and computation. It is critical that we address these challenges because these large datasets enable massive breakthroughs across many scientific disciplines. Instruments and observations can generate terabytes of data per day, which often must be transferred from remote locations, field stations, or core facilities to the user's home system for storage and analysis. To address these challenges, The University of Chicago (UChicago) will acquire and operate a Data Lifecycle Instrument (DaLI) to manage and share data from instruments and observations at UChicago and the Marine Biological Laboratory (MBL). DaLI will simplify data management for researchers, allowing them to acquire, transfer, process, and share data from instruments and observations in a single workflow as well as share their data with a larger community of users. In partnership with UChicago, MBL, and collaborating Minority Serving Institutions, DaLI will be used as a training instrument to prepare students to meet the data challenges of the 21st century and will support several outreach programs. The Data Lifecycle instrument (DaLI) for management and sharing of data from instruments and observations will enable researchers to (a) acquire, transfer, process, and store data from experiments and observations in a unified workflow, (b) manage data collections over their entire life cycle, and (c) share and publish data. DaLI will also (d) enhance outreach and education opportunities and (e) provide a replicable model for other institutions. DaLI will create a scalable, seamless, and replicable infrastructure for data management and sharing to enable new transformative science and enable researchers to implement best practices in data management. The DaLI platform will consist of four pools of resources: a high-performance compute resource for pre- and post-processing of data, a high-performance storage pool, a low cost storage pool, and a tape backup pool. In addition to hardware, DaLI is designed to have software tools that create intuitive interfaces for data lifecycle management and integration with the campus and national cyberinfrastructures.