大数据时代下日本行星探索的数据管理

Yukio Yamamoto, H. Ishikawa
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引用次数: 0

摘要

行星探测所获得的数据有很多方面,比如正在进行的任务中的决策,航天器安全的异常检测,科学分析的数据档案,以及吸引人的快照。每个方面都需要不同的数据格式和处理技术。在本文中,我们讨论了行星探测周围环境的变化以及计算机上大数据的处理。因此,为了长期保存科学数据,必须有标准和一个认可这些标准的社区。在制定标准之后,每个社区准备分析工具。此外,科学家不仅需要在标准化方面做出努力,还需要在确保科学质量方面做出努力。近年来,对于高信息量的数据,数据档案的处理需要信息科学专家。此外,数据提供者或分发者应该定义数据策略,向用户阐明数据用法。最后,科学分析大数据和计算机资源带来的云架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Management in Japanese Planetary Explorations for Big Data Era
The data obtained by planetary explorations has various aspects such as decision making during an ongoing mission, anomaly detection for spacecraft safety, data archives for scientific analysis, and attractive snapshots for outreach. Each aspect requires each data formats and processing techniques. In this paper, we discuss changes in the environment surrounding planetary explorations and the handling of big data on computers. As a result, for the long-term preservation of scientific data, there must be standards and a community to endorse the standards. After standards, each community prepares the analysis tools. Furthermore, scientists need to make efforts not only in standardization but also in ensuring the quality of science. For highly informative data in recent years, the processing of data archives requires information science experts. Also, data providers or distributors should define data policies to clarify data usages to users. Finally, scientific analysis of cloud-based architecture due to big data and computer resources.
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