China High Impact Data Paper Ranking (2025)

Among the many practical paths of open sharing of scientific data, Data Articles, Data Papers, or Data Descriptors are widely recognized as best practices for effectively addressing issues such as sharing incentives, ensuring data quality, and improving data availability. Chinese scholars have been actively involved in open science and have produced a number of high-quality and influential data papers in the practical process, making outstanding contributions to the global open data industry. Chinese academic journals have also innovatively explored new forms of publication such as data journals and data paper columns, but compared with traditional research papers, the practice of data papers on a global scale is still relatively niche; In China, the awareness of data papers among researchers and academic journals still needs to be improved. Based on global data compilation, the "China High Impact Data Paper Ranking (2025)" aims to attract more attention from Chinese researchers and academic journals to data papers, while advocating for broader and more standardized data paper publishing practices. Through rigorous scientometric evaluation and strict selection by the judging panel, a total of 110 data papers were distinguished in 2025, being honored on both the "China High Impact Data Paper Ranking (2025)" and the "China High Impact Data Paper Ranking (2025) - Rising Stars List". These papers span 6 major disciplines: Earth Sciences, Biological Sciences, Agricultural Sciences, Engineering & Technology, Medical & Health Sciences, and Other Fields. Notably, the "Rising Stars List" is a newly established ranking this year.  The collection of data papers for this quantitative evaluation method can be obtained through the "Data Paper Index" community of SciecneDB. The access link is: https://dpi.scidb.cn .

在科学数据开放共享的诸多实践路径中，数据文章（Data Articles）、数据论文（Data Papers）或数据描述符（Data Descriptors）被广泛认可为有效解决共享激励不足、保障数据质量、提升数据可及性等问题的最佳实践。中国学者积极投身开放科学实践，在落地过程中产出了一批高质量、具影响力的数据论文，为全球开放数据事业作出了突出贡献。国内学术期刊也创新性探索了数据期刊、数据论文专栏等新型出版形式，但相较于传统研究论文，全球范围内数据论文的实践仍相对小众；在我国，科研人员与学术期刊对数据论文的认知仍有待提升。本榜单基于全球数据汇编形成，《中国高影响力数据论文榜单（2025）》旨在吸引中国科研人员与学术期刊更多关注数据论文，同时倡导更广泛、更规范的数据论文出版实践。本次评选通过严谨的科学计量评价（scientometric evaluation）与评审委员会的严格遴选，最终从2025年的参评数据论文中遴选出110篇优秀作品，同时入选《中国高影响力数据论文榜单（2025）》与《中国高影响力数据论文榜单（2025）——新星榜》。这些论文覆盖地球科学（Earth Sciences）、生物科学（Biological Sciences）、农业科学（Agricultural Sciences）、工程技术（Engineering & Technology）、医药卫生科学（Medical & Health Sciences）及其他领域共6大学科门类。值得关注的是，“新星榜”为今年新增设立的榜单。本次量化评价所纳入的数据论文样本，可通过科学数据库（SciDB）的“数据论文索引（Data Paper Index）”社区获取，访问链接为：https://dpi.scidb.cn。