摘要
科技期刊发布平台迁移过程中所涉及的数据,可根据数据类型划分为期刊的基础数据、期刊的扩展数据、期刊的用户数据及行为数据、期刊网站与上下游系统连通数据等不同的数据层级,并据此构建相关的层次模型。层次模型可应用在实际的数据迁移实践中,本文根据不同层级数据的特点,探讨各层数据在数据迁移过程中的迁移思路、迁移方法和注意事项,并提出相应的迁移案例,以期对促进科技期刊数字化建设的健康发展提供参考。
Data involved in the migration process of sci-tech journal publishing platforms can be divided into different layers according to types,such as basic data,extended data,user data and behavior data,and website and up-down-stream-connected data.Related hierarchical model can be constructed accordingly,and it can be applied in the actual data migration practice.According to the characteristics of data at different layers,this study analyzed in-depth the migration ideas,methods and precautions of data at each layer in the process of data migration,and put forward corresponding migration cases,with a view to providing references to promote the healthy development of the digitization of sci-tech journals.
作者
郭军强
GUO Junqiang(Zhongtu Kexin Technology (Beijing) Co.,Ltd.,100020,Beijing,China)
出处
《数字出版研究》
2024年第2期72-76,共5页
DIGITAL PUBLISHING RESEARCH
关键词
学术期刊
发布平台
数据迁移
层次模型
Academic journals
Publishing platform
Data migration
Hierarchical model
