DOI: 10.57760/sciencedb.28037
title: China High Impact Data Paper Ranking (2025)
title: 中国高影响力数据论文榜单（2025年）

description: 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 . 
description: 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 .