REVIEW

A Study on the Developing Trends of Global Scientific Data Platforms

  • Zhang Yang ,
  • Huang Nan ,
  • Yu Houqiang
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  • School of Information Management, Sun Yat-sen University, Guangzhou 510006
Zhang Yang,professor,PhD;Huang Nan,doctoral candidate;Yu Houqiang,associate professor,PhD,corresponding author,E-mail:yuhq8@mail.sysu.edu.cn.

Received date: 2024-06-04

  Revised date: 2024-10-30

  Online published: 2025-04-10

Supported by

This work is supported by the major project of National Social Science Fund of China, titled “Research on the Evaluation System and Improvement Strategies for the Social Impact of Scientific Research Achievements ”(Grant No. 23&ZD226) and Soft Science Research Program of Guangdong Province titled “Research on the Influential Mechanism and Intelligent Decision Support System of Peer Review of Science and Technology Projects in the New Era” (No. 2024A1010010003).

Abstract

[Purpose/Significance] This study examines the global developing trends of scientific data platforms, focusing on the characteristics of their growth in number, geographic distribution, and disciplinary distribution. The aim is to provide reliable reference for the construction and development of scientific data platforms, thereby promoting data sharing and open science. [Method/Process] This research involved writing program codes to access the application programming interfaces (APIs) of three registry platforms: re3data, OpenDOAR, and ROAR. The stored scientific data platform records were retrieved and subsequently processed and analyzed. [Result/Conclusion] The data analysis reveals that the number of global scientific data platforms has grown rapidly since 2000, though the growth rate has fluctuated. The distribution of scientific data platforms is concentrated in developed countries. Among the disciplinary categories, the humanities and social sciences account for the largest proportion, while the other three categories are relatively balanced. Additionally, the study conducts cross-analyses on the age of scientific data platforms in relation to their geographic and disciplinary distributions, further elucidating the development characteristics across different countries and academic fields.

Cite this article

Zhang Yang , Huang Nan , Yu Houqiang . A Study on the Developing Trends of Global Scientific Data Platforms[J]. Library and Information Service, 2025 , 69(8) : 139 -148 . DOI: 10.13266/j.issn.0252-3116.2025.08.013

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