Zhao Pinge, Zhang Xin, Dai Liandi, Ma Baoguo, Duan Yuting, Xu Yan, Wei Hongmei, Wu Shengwei, Xiong Linghui
The Affiliated Brain Hospital, Guangzhou Medical University, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, People's Republic of China.
Evidence-based Medicine Center, The Affiliated Traditional Chinese Medicine Hospital, Guangzhou Medical University, Guangzhou, People's Republic of China.
PLoS One. 2025 Sep 2;20(9):e0331697. doi: 10.1371/journal.pone.0331697. eCollection 2025.
Responsible data sharing in clinical research can enhance the transparency and reproducibility of research evidence, thereby increasing the overall value of research. Since 2024, more than 5,000 journals have adhered to the International Committee of Medical Journal Editors (ICMJE) Data Sharing Statement (DSS) to promote data sharing. However, due to the significant effort required for data sharing and the scarcity of academic rewards, data availability in clinical research remains suboptimal. This study aims to explore the impact of biomedical journal policies and available supporting information on the implementation of data availability in clinical research publications This cross-sectional study will select 303 journals and their latest publications as samples from the biomedical journals listed in the Web of Science Journal Citation Reports based on stratified random sampling according to the 2023 Journal Impact Factor (JIF). Two researchers will independently extract journal data-sharing policies from the submission guidelines of eligible journals and data-sharing details from publications using a pre-designed form from Apr 2025 to Dec 2025. The data sharing levels of publications will be based on the openness of the data-sharing mechanism. Binomial logistic regression analyses will be used to identify potential journal factors that affect publication data-sharing levels. This protocol has been registered in Open Science Framework (OSF) Registries: https://doi.org/10.17605/OSF.IO/EX6DV.
临床研究中负责任的数据共享可以提高研究证据的透明度和可重复性，从而增加研究的整体价值。自2024年以来，已有5000多家期刊遵守了国际医学期刊编辑委员会（ICMJE）的数据共享声明（DSS），以促进数据共享。然而，由于数据共享需要付出巨大努力且学术奖励稀缺，临床研究中的数据可用性仍然不理想。本研究旨在探讨生物医学期刊政策和可用支持信息对临床研究出版物中数据可用性实施的影响。这项横断面研究将根据2023年期刊影响因子（JIF），通过分层随机抽样从科学引文索引（SCI）期刊引用报告中列出的生物医学期刊中选取303种期刊及其最新出版物作为样本。两名研究人员将在2025年4月至2025年12月期间，使用预先设计的表格，从符合条件的期刊投稿指南中独立提取期刊数据共享政策，并从出版物中提取数据共享细节。出版物的数据共享水平将基于数据共享机制的开放性。将使用二项逻辑回归分析来确定影响出版物数据共享水平的潜在期刊因素。本方案已在开放科学框架（OSF）注册中心注册：https://doi.org/10.17605/OSF.IO/EX6DV。
