Song Jia, Li Chunqiu, Chansanam Wirapong
School of Management, Shenzhen Polytechnic University, Shenzhen, China.
Centre for Modern Industry and SME, Shenzhen, China.
Front Artif Intell. 2025 Jun 26;8:1544200. doi: 10.3389/frai.2025.1544200. eCollection 2025.
In the context of global open science trends, medical open-access repositories (OARs) promote transparency in research and facilitate the sharing of scientific data. The increase in scientific output necessitates a robust infrastructure to enhance OARs in China.
This study aimed to evaluate medical open-access repositories (OARs) in China that are indexed in re3data.org and OpenDOAR.org. The study analyzed data classification, descriptions, retrieval, and the utilization of selected repositories.
This study ascertained the current status of the Chinese 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 May 1 to 30, 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.
在全球开放科学趋势的背景下，医学开放获取知识库（OARs）促进了研究的透明度，并推动了科学数据的共享。科学产出的增加需要强大的基础设施来加强中国的OARs。
本研究旨在评估在中国re3data.org和OpenDOAR.org上被索引的医学开放获取知识库（OARs）。该研究分析了所选知识库的数据分类、描述、检索和利用情况。
本研究通过访问中国医学OARs各自的网站来确定其现状，并试图确定每个OAR的学科方向。采用内容分析法来实现本研究的目标。从re3data.org和OpenDOAR.org中选取了12个中国医学开放获取知识库，以研究其信息的组织方式。数据于2023年5月1日至30日手动收集，并使用各种定量技术进行分析，以了解中国医学科学知识库的现状。
基于研究结果，本研究提出了以下建议：（1）实施多维数据分类；（2）使用持久数据标识符；（3）规范描述元数据；（4）增强高级检索和结果集筛选功能；（5）优化数据知识库的预览和交互功能。
本研究的范围仅限于re3data.org和OpenDOAR.org上列出的中国医学开放获取知识库。因此，本研究的结果仅在中国范围内具有普遍性。中国研究产出的主要重点是医学开放获取知识库。本研究对于评估中国医学领域研究数据管理的现状及其在全球开放科学趋势中的传播基础设施至关重要。
