2026 Pujiang Innovation Forum issued the "Shanghai Declaration" calling for the open sharing of global scientific data

China News Service, Shanghai, September 14 (Reporters Sun Zifa and Zheng Yingying) The 2026 Pujiang Innovation Forum held a special forum on scientific data on the 14th and released the "Shanghai Declaration" on the open sharing of scientific data in the era of artificial intelligence, calling for the joint construction of an open, inclusive, safe and collaborative global scientific data governance ecosystem.

The "Shanghai Declaration" focuses on promoting the deep integration of data elements into the entire chain of scientific and technological innovation, reconstructing the scientific research paradigm with "data + AI", contributing Chinese solutions to improving the global scientific data governance system, and sending a firm signal to the world that China will deepen open cooperation in scientific data and jointly release the dividends of innovation.

The "Shanghai Declaration" clarifies eight action directions: create AI-ready scientific data resources, establish an open sharing standard system, improve scientific data full life cycle compliance governance, implement classified and hierarchical shared applications, build distributed interconnected digital infrastructure, improve benefit sharing mechanisms, coordinate cross-border data flows, and ensure fair and universal access to scientific data.

At the special forum, China's six national scientific data centers in the fields of space, earth observation, microorganisms, earth systems, glaciers and permafrost deserts, and high-energy physics signed contracts with 14 universities, scientific research institutes and international organizations from the United Kingdom, Russia, Canada, Pakistan, Uzbekistan, Mongolia, Thailand, Malaysia, Laos and other countries to provide support for conducting cross-border joint research and promoting the joint construction and sharing of data resources.

During the keynote report session of the forum, a number of academicians and experts expressed their opinions based on the cutting-edge directions of scientific data and AI research.

Wang Jian, academician of the Chinese Academy of Engineering and director of the Zhejiang Laboratory, said that AI is not just a tool for scientific research. Scientific questions and scientific data are becoming the frontier of AI itself.

Yu Haibin, academician of the Chinese Academy of Engineering and director of the Institute of Industrial Artificial Intelligence of the Chinese Academy of Sciences, said that for real artificial intelligence to move into the physical world, it must have a set of technical routes and systems.

Wu Feng, academician of the Chinese Academy of Engineering and professor at the University of Science and Technology of China, believes that brain data requires AI analysis and feeds back into the new AI paradigm, and provides a base for brain-computer interfaces.

Yang Jinlong, academician of the Chinese Academy of Sciences and president of Tongji University, said that scientific data construction has evolved from islands to networks and then to ecology. It is based on data, uses knowledge as a network, and uses ecology to empower scientific intelligence, making data the foundation of China's scientific intelligence.

On the same day, the Shanghai Scientific Data Management and Sharing Service Platform was also launched. The platform has collected and covered 1,550 scientific projects and 6,255 scientific data sets.