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China

The CODATA member organization for China is the Chinese Academy of Sciences.  The Chinese Academy of Sciences (CAS) joined CODATA in 1984 as a national member and organized the Chinese National Committee for CODATA (CN-CODATA or CODATA-China), which is comprised of 24 members from the CAS, related Ministries, Universities and Commissions. Acad Yaping Zhang, the vice president of CAS, is the Chairman of the CN-CODATA.

The principal member organisations of the Chinese National Committee for CODATA (CN-CODATA or CODATA-China) are:

  1. Chinese Academy of Sciences
  2. China Association for Science and Technology
  3. National Natural Science Foundation of China
  4. National Science and Technology Infrastructure
  5. Chinese Academy of Social Sciences
  6. Chinese Academy of Agricultural Sciences
  7. Chinese Academy of Medical Sciences
  8. China Institute of Atomic Energy
  9. Tsinghua University
  10. University of Science and Technology Beijing

 

Organisational structure

 

Activities planned for 2022

  • The 8th Scientific Data Conference is planned to be held in August 2022 in Qingdao, Shandong Province, China.
  • Propose a session about Data Ethics for SciDataCon (part of International Data Week 2022), and publicise and engage more scientists to participate in conference sessions.
  • Hold workshops on open science, data management and applications.

 

Recent activities (2020 onwards)

CODATA-China has been active in a number of important recent activities.

Support for the Global Open Science Cloud initiative

The Chinese Academy of Sciences (CAS) provided seed money for the Global Open Science Cloud initiative, and Computer Network Information Center (CNIC) of the CAS is working with CODATA to establish an international project office for coordinating discussions among task groups and producing case studies. CN-CODATA experts hold the post of co-chairs, secretariat members and members, support and participate in discussions on topics including data interoperability, policy and legal, SDG-13 climate change and natural disasters, incoherent scatter radar data fusion and computation, technical infrastructure and sensitive data federation analysis in population health, etc.

Successfully held the 7th Chinese Scientific Data Conference on the theme, ‘Scientific Data and Field Scientific Observation Research Stations’

The 7th Chinese Scientific Data Conference on the theme, ‘Scientific Data and Field Scientific Observation Research Stations’ was successfully held in Hohhot, Inner Mongolia from 11th to 12th October 2021. The conference is an annual event convened by the Chinese National Committee of Committee on Data for International Science Council (CODATA), supported by National Center for Science and Technology Infrastructure, Office of the Leading Group for Cybersecurity and Informatization of the Chinese Academy of Sciences (CAS), the Department of Information Science of the National Natural Science Foundation of China, and Department of International Cooperation of the Chinese Association for Science and Technology.

The conference program was organized by the CAS Institute of Geographical Sciences and Nature Resources and the CAS Computer Network Information Center around three themes: “Data Management and Applications for Scientific Observation and Research Stations in the Field”, “Scientific Data Governance and Services in Disciplines”, and “Common Technologies for Big Data Management and Applications in Science”.  Twenty-five sessions were co-organized by experts from the CODATA-China network focusing on data integration and innovation-driven applications of scientific data related to CODATA strategies and actions such as data for the prevention and control of COVID-19, earthquake prevention and disaster reduction, carbon neutrality and sustainable development. The conference is dedicated to promoting the recognition of CODATA in China and the implementation of the CODATA Decadal Program and local research data strategies across domains.

Workshop on ‘Open Data for Open Science’ was held

On 3 March 2022, an ‘Open Data for Open Science’ Workshop, organized by CODATA China National Committee, was held successfully. Around twenty experts and scholars with open science research backgrounds from the Institute of Science and Technology, the Chinese Academy of Sciences, and other universities participated in the workshop. Lianglin Hu, Secretary General of the CODATA China National Committee, chaired the workshop. The workshop was composed of presentations by domain experts and with discussions to follow.

The participants had in-depth and enthusiastic discussions on the current situation and development of open data and open science and concluded that development will continue to increase impact on the academic publishing community. Under the influence of relevant state policies and with the increasing call for open science, how to balance the relationship between data ethics, data security, and data standards is a major challenge in promoting open data sharing. Scientific researchers and the public will benefit from the development of open science. It is recommended to enhance open science education, carry out demonstration projects, increase the participation of universities, protect data property rights, and promote the implementation of open science in China by considering the actual needs of national development.

Data ethics workshop was held successfully

On 17 Jan 2022, the workshop ‘Scientific Data Ethics in the Digital Economy’ was held virtually for epidemic prevention and control reasons, organized by CODATA China National Committee. More than thirty experts and scholars from fields including population health, agri-food, earth observation, ecology and environment, intangible cultural heritage protection and big data attended. Chaired by secretary general of CODATA China National Committee Lianglin Hu, the workshop was composed of presentations by domain experts followed by discussions.

Experts introduced ethics problems and developments in various fields in China and the relationship with the ethics of scientific data, sharing their concerns and thoughts on data ethics implementations. Attendees had in-depth and lively discussions on ethical issues in various fields and its evolution with data ethics. Lianglin Hu concluded that “In the era of the digital economy, the demand for data ethics is getting higher and higher. Balancing the relationship between data development and utilization, open sharing, data security, and reducing the ethical risks that may arise from data sharing and utilization is surely a major challenge. It is of great theoretical value and practical significance to systematically explore the ethics of scientific data, while the connotation and extension of the ethics of scientific data need to be further explored.”

 

Main contacts

Professor Guo Huadong
(National Delegate)
Director General, International Research Center of Big Data for Sustainable Development Goals,
Academician of the Chinese Academy of Sciences,
Foreign Member of the Russian Academy of Sciences,
Foreign Member of the Finnish Society of Sciences and Letters,
Fellow of the World Academy of Sciences (TWAS)
Professor Hu Lianglin
(Secretary-General)
Director of National Basic Science Data Center,
Vice director of Scientific Data Center,
Computer Network Information Center,
Chinese Academy of Sciences

 

Future Objectives

  1. To construct an Expert Committee on Scientific Big Data, which aims to explore big data issues and technologies.
  2. To establish a working group on data publication and data ethics.
  3. To promote the data sharing of CAS and also national data sharing, and to support more Chinese scientists to attend CODATA activities.

 

 

Page last updated: 2022-03-14.