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中国开放数据报告2024

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posted on 2024-12-20, 12:30 authored by Guirui Yu, Zhou Yuanchun, Jiang Lulu, Zhang Zeyu, Li Zongwen, Li Chengzan, Ma Lingwei, Zhang Dawei, Cheng Xuequn, Li Xiaogang, He Honglin, Hou Yanfei, Zhang Sisi, Zhao Wenming, Hu Lianglin, Gao Yuwei, Zhu Yanhua, Zhao Huan, Ma Xiaomeng, Pan Xiaoduo, Li Xin, Feng Min, Nie Xiaowei, Li Xin, Yang Xiaodong, Chen Shubai, Liu Xiaomin, Wang Shu, Liu Jia, Wang Lijuan, Xia Xiaolei, Lu Xuefeng, Niki ScaplehornNiki Scaplehorn

This white paper is jointly released by Computer Network Information Center of Chinese Academy of Sciences (CNIC, CAS), Springer Nature, Figshare, Science Data Bank (ScienceDB) and Digital Science.

With the continuous improvement and enrichment of China's data policies and practices, as well as the positive impact of artificial intelligence (AI) technology on scientific research, China's open data initiative has ushered in vigorous development. CNIC analyzed attitudes and experiences of Chinese researchers towards open data, these findings are based on the survey for the State of Open Data shared by Springer Nature, Figshare and Digital Science from 2016 to 2024. CNIC also invited guest pieces from multiple stakeholders in China to create a complete overview of open data policy, practice, and prospects in China. The stakeholders include multiple national scientific data centers, AI technology experts, identification technology experts, data journal experts and etc.

The foreword is co-authored by Yu Guirui, Academician of Chinese Academy of Sciences (CAS), Professor of Institute of Geographic Sciences and Natural Resources Research, CAS, and Zhou Yuanchun, Deputy Director of CNIC, CAS. This foreword summarizes the whole report.

Followed by:

  • China State of Open Data Report 2024
  • Research on data analysis and utilization technology of material corrosion science in China
  • Long-term observation data of ecosystem field stations in China
  • The current situation and reflections on the management and open sharing of human genetic resource data in China
  • Data-driven exploration of multidisciplinary and interdisciplinary research
  • National Tibetan Plateau Data Center: Leading the open sharing of geoscience data
  • A new paradigm for life science research jointly driven by data and intelligence
  • Analysis of the current situation of data papers in China
  • Application practice and exploration of Common Science and Technology Resource (CSTR) Identification
  • Making it easy to be open: Can AI promote open science?

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