Fully Integrating Data with Compute Workflows: A Platform to Better Serve Scientific Research
Fully Integrating Data with Compute Workflows: A Platform to Better Serve Scientific Research
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数据与计算工作流程全面融合：更好服务科学研究的平台
DOI：
10.1177/8755293019891727
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发表时间：
2018
影响因子：
5
通讯作者：
Omkar Patil
中科院分区：
文献类型：
--
作者：
Ann Christline;Chandima HewaNadungodage;Steven M. Clark;Sumudinie Fernando;Guneshi T. Wickramaarachchi;Andres Bejarano;Parameswaran Desigavinayagam;Omkar Patil
NSF高级网络基础设施办公室已经认识到对完全集成数据和计算工作流程的平台的新兴和不断发展的需求，并呼吁研究提供全方位数据服务的系统，并提供与计算软件的一致耦合。数字环境支持数据驱动科学（DEEDS）项目为数据和计算创建了一个跨领域的自助服务平台，支持整个端到端的研究调查过程。DEEDS提供交互式界面，以1）收集，管理和探索数据，2）定义和启动工具，3）跟踪计算工作流，以及4）访问工具包进行特别分析。所有界面都可以从一个仪表板中获得，因此数据和工具之间的工作流程流畅而直观。在本文中，我们描述了DEEDS的创新处理数据和计算工作流程，我们提出了用例从四个科学领域定义的功能，服务和可用性要求的DEEDS。
—The NSF Office of Advanced Cyberinfrastructure has recognized the emerging and evolving need for platforms that fully integrate data and computing workflows, and is calling for research to deliver systems that provide a full spectrum of data services and also offer a coherent coupling with computing software. The Digital Environment to Enable Data-driven Science (DEEDS) project has created a cross-domain, self-serve platform for data and computing that supports the entire end-to-end research investigation process. DEEDS offers interactive interfaces to 1) collect, manage, and explore data, 2) define and launch tools, 3) track computational workflows, and 4) access toolkits for ad hoc analytics. All interfaces are available from a single dashboard so that the workflow between data and tools is smooth and intuitive. In this paper, we describe DEEDS innovations for handling data and computational workflows, and we present the use cases from four science domains that defined features, services, and usability requirements for DEEDS.
在 DataCenterHub 上共享科学研究数据的网络平台
影响因子：
2.1
作者：
Catlin, Ann Christine;HewaNadungodage, Chandima;Pujol, Santiago;Laughery, Lucas;Sim, Chungwook;Puranam, Aishwarya;Bejarano, Andres
通讯作者：
Bejarano, Andres