摘要
元数据是保证研究数据(又被称作"科学数据")获取和再利用的关键,国内外许多学科领域和学术社区都制定了该领域特定的研究数据元数据标准或规范。与文献资源元数据标准相较,研究数据元数据标准结构和元素设计往往更为复杂,为跨学科的数据分享和发现带来了障碍。文章应用一种内容结构视图,对八种典型的研究数据元数据标准元素进行比较分析,分析不同研究数据元数据标准的内容特征,并由此探讨研究数据元数据标准发展趋势,为元数据应用方案设计提供参考。
Metadata is key for the discovery and reuse of research data(or scientific data). Specific metadata standards or norms have been developed in different subject areas and academic communities both at home and abroad. Compared with the literature resource metadata standard, the standard structure and element design of research data metadata are more complex in most cases, which brings obstacles to interdisciplinary data sharing and discovery. This paper applied a content structure view to compare and analyze the eight typical research data metadata standard elements, identified the content characteristics of different research data metadata standards, and explored the development trend of research data metadata standards for metadata application, and thus provides a reference for the design of metadata application profile.
出处
《大学图书馆学报》
CSSCI
北大核心
2019年第6期78-84,共7页
Journal of Academic Libraries
关键词
研究数据
科学数据
元数据标准
内容结构视图
Research Data
Scientific Data
Metadata Standard
Content Architectural View
