ORIGINAL RESEARCH article
Front. Artif. Intell.
Sec. Medicine and Public Health
Volume 8 - 2025 | doi: 10.3389/frai.2025.1544200
Construction of Medical Scientific Data Repositories in China: Analysis of Survey and Recommendations
Provisionally accepted
- 1Shenzhen Polytechnic, Shenzhen, China
- 2School of Government, Beijing Normal University, Beijing, Beijing, China
- 3Faculty of Humanities and Social Sciences, Khon Kaen University, Khon Kaen, Thailand
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This study aimed to evaluate medical open-access repositories (OARs) in China indexed in re3data.org and OpenDOAR.org. The study analyzed data classification, description, and retrieval, and the utilization of selected repositories; ascertained the current status of the China medical OARs by visiting their respective websites; and attempted to identify the disciplinary orientation of each OAR. A content analysis approach was utilized to achieve this study's objective. Twelve Chinese medical open-access repositories were selected from re3data.org and OpenDOAR.org to examine how their information is organized. The data were collected manually from 1 to 30 May 2023 and analyzed using various quantitative techniques to understand the current status of medical scientific repositories in China. Based on the results, this study proposed the following recommendations: (1) implement multi-dimensional data classification, (2) use persistent data identifiers, (3) formalize the description metadata, (4) enhance advanced retrieval and result set filtering functions, and (5) optimize the preview and interaction features of data repositories. The scope of this study is restricted to the medical open-access repositories in China as listed on re3data.org and OpenDOAR.org. Therefore, the results of this study are only generalizable within China. The primary focus of research output in China is on medical open-access repositories. This study is essential for assessing China's current status in research data management within the medical field and its distribution infrastructure in global open science trends.
Keywords: Open access, Scientific Data, data management, medical open-access repositories, OpenDOAR, Re3data
Received: 10 Apr 2025; Accepted: 10 Jun 2025.
Copyright: © 2025 Song, Li and Chansanam. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Chunqiu Li, School of Government, Beijing Normal University, Beijing, Beijing, China
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