计量科学大数据分级分类  

Classification of big data in metrology

作　　者：智峰[1] 田锋[1] 赵若凡 ZHI Feng;TIAN Feng;ZHAO Ruofan(National Metrology Data Center,National Institute of Metrology,China,Beijing 100029,China)

机构地区：[1]中国计量科学研究院国家计量科学数据中心,北京100029

出　　处：《大数据》2022年第1期60-72,共13页Big Data Research

摘　　要：基于我国数据共享开放的发展趋势以及科研数据安全管理的相关政策,对我国计量行业数据分级分类的现存方案进行研究。对国内20个国家级数据共享平台以及美国的相关数据分级分类方法展开调研,讨论了我国计量科研数据分级分类方法的不足,并从数据安全以及数据管理的角度提出了计量数据安全等级划分模型以及计量数据分级分类编码方法。Based on the tendency of development around data sharing in China and the relevant policies of safety management of scientific research data,the existing schemes of data classification of the metrology industry in China were studied.After investigating data classification methods of 20 national data-sharing platforms in China and relevant rules in the United States,the defects of the classification methods of metrological scientific research data in China were discussed,and the data security classification model and the data classification encoding method of metrological data were put forward.

关 键 词：计量学 分级分类 数据安全 开放共享 数据管理 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]