出版科学 ›› 2025, Vol. 33 ›› Issue (5): 76-88.

• 青年学者论坛 • 上一篇    下一篇

在争鸣中探索——数据出版概念辨析与重构 

  

  1. 上海理工大学出版学院

  • 收稿日期:2025-01-03 修回日期:2025-07-06 出版日期:2025-10-14 发布日期:2025-10-14
  • 作者简介:张新新,上海理工大学出版学院教授、博士生导师,数字文明研究院执行院长 ;赵哲瑞,上海理工大学出版学院 2022 级本科生。
  • 基金资助:

    本文系国家社会科学基金重大项目“全媒体传播体系下出版深度融合发展研究”(23&ZD218)阶段性研究成果。

Exploring in Controversy :Analysis and Reconstruction of the Concept of Data

Publishing 

  1. University of Shanghai for Science and Technology

  • Received:2025-01-03 Revised:2025-07-06 Online:2025-10-14 Published:2025-10-14

摘要:

数据出版概念研究正经历肇始、发轫与引擎三阶段。科学数据出版是为解决科学数据共享呈现出来的科学数据评审、公开、发布、存储和引证活动大数据出版强调大数据技术的应用以及二次数据的发现 ;而数据出版则是以出版数据为关键要素的出版。以往的数字出版概念存在过度强调技术赋能而忽视技术消解作用、缺乏数据要素基础制约考量、偏重出版技术创新而疏于出版产业创新的通盘考量等不足。由此,在辨析与争鸣中重构数据出版概念 :数据出版是出版数据开发利用、管理服务与安全活动的活动,是以出版数据为关键要素的出版发展新阶段。

Abstract:

Research on the concept of data publishing is progressing through three stages inception, initiation, and engine. Scientific data publishing aims to address the activities of scientific data review, public disclosure,dissemination, storage, and citation emerging from scientific data sharing. Big data publishing emphasizes the application of big data technologies and the discovery of secondary data. Whereas data publishing is characterized by taking the publication of data as a key element. Previous studies on the concept of digital publishing have shortcomings such as excessive emphasis on technological empowerment while neglecting the role of technological dissolution, lack of consideration for data element foundations, and a focus on publishing technology innovation while neglecting the overall consideration of publishing industry innovation. Therefore, in the process of discrimination and debate, the concept of data publishing has been reconstructed. Data publishing is the activity of publishing data development and utilization,management services, and security activities, which is a new stage of publishing development with publishing data as the key element. 

Key words:

Scientific data publishing ,  , Digital , technology , empowerment  , Big data empowerment  , Data elements empowerment ,

中图分类号: