PDS4:用于长期保存的模型驱动的行星科学数据体系结构

J. Hughes, D. Crichton, S. Hardman, E. Law, R. Joyner, P. Ramirez
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引用次数: 9

摘要

行星数据系统(PDS)的目标是对科学数据进行数字化保存,以供科学研究界长期使用。经过20年的成功运营,PDS发现自己进入了一个大数据、国际合作、分布式节点以及多种数据分析和解释方式的新时代。形成了一个项目,以开发一种有纪律的体系结构方法,该方法将推动可扩展数据系统的设计和实现,该系统可以发展以满足这个新时代的需求。下一代系统PDS4使用明确的模型驱动架构方法,结合现代信息技术和标准来应对这些挑战,以确保在未来几年可以挖掘行星数据资产以获取科学知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PDS4: A model-driven planetary science data architecture for long-term preservation
The goal of the Planetary Data System (PDS) is the digital preservation of scientific data for long-term use by the scientific research community. After two decades of successful operation, the PDS found itself in a new era of big data, international cooperation, distributed nodes, and multiple ways of analysing and interpreting data. A project was formed to develop a disciplined architectural approach that would drive the design and implementation of a scalable data system that could evolve to meet the demands of this new era. PDS4, the next generation system, uses an explicit model-driven architectural approach coupled with modern information technologies and standards to meet these challenges in order to ensure the planetary data assets can be mined for scientific knowledge for years to come.
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