{"title":"大数据时代下日本行星探索的数据管理","authors":"Yukio Yamamoto, H. Ishikawa","doi":"10.1145/3405962.3405970","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":247414,"journal":{"name":"Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Management in Japanese Planetary Explorations for Big Data Era\",\"authors\":\"Yukio Yamamoto, H. Ishikawa\",\"doi\":\"10.1145/3405962.3405970\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":247414,\"journal\":{\"name\":\"Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3405962.3405970\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3405962.3405970","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.