摘要
[目的/意义]数据计量学是计量学在大数据环境下形成的一门新兴交叉学科,明确其概念内涵、理论方法及发展趋势,对于完善数据计量学的学科体系和实现大数据的计量与评价具有重要意义。[方法/过程]文章采用文献调查法和对比分析法,在现有的研究基础上对数据计量学的概念内涵、理论方法及发展趋势进行了深入分析。[结果/结论]研究完善了数据计量学的概念内涵,辨析了数据计量学与其他学科、概念之间的关系,梳理了数据计量学的主要理论基础,构建了涵盖四个层次的研究方法体系,阐述了数据计量学的相关应用,最后得出国内数据计量学的发展趋势,理论的融合与创新,方法的改进与应用,应用的拓展与深入。
[Purpose/significance]Datametrics is a new interdisciplinary discipline formed by metrics in the big data environment.Clarifying its concept connotation,theoretical methods and development trend is of great significance to improve the disciplinary system of datametrics and realize the measurement and evaluation of big data.[Method/process]Based on the existing research,this paper makes an in-depth analysis on the concept connotation,theoretical methods and development trend of datametrics by using the methods of literature investigation and comparative analysis.[Result/conclusion]This research perfects the concept connotation of datametrics,discriminates the relationship between datametrics and other disciplines and concepts,combs the main theoretical basis of datametrics,constructs a research method system covering four levels,elaborates the relevant applications of datametrics,and finally obtains the development trend of domestic datametrics:integration and innovation of the theories,improvement and application of the methods,expansion and deepening of the application.
出处
《情报理论与实践》
CSSCI
北大核心
2022年第9期27-36,共10页
Information Studies:Theory & Application
基金
国家社会科学基金重大项目“基于大数据的科教评价信息云平台构建和智能服务研究”的成果,项目编号:19ZDA348。
关键词
大数据
五计学
数据计量学
数据科学
概念内涵
理论方法
发展趋势
big data
Five Metrics
datametrics
data science
concept connotation
theoretical methods
development trend
