China Launches Landmark English-Language Data Journal to Enhance Global Scientific Collaboration
Beijing played host to a significant development in scientific publishing on June 23, 2026, as the Chinese Academy of Sciences unveiled Data Express, the nation’s first English-language academic journal dedicated exclusively to data papers. This open-access publication marks a strategic push to position China as a central hub for the international exchange of high-value scientific data, particularly in an era dominated by artificial intelligence and big data research.
The journal, sponsored by the CAS and edited in chief by Yu Guirui, a prominent ecologist and CAS academician, responds directly to the global challenge of making scientific data findable, accessible, interoperable, and reusable under the FAIR principles. It arrives at a time when data has emerged as a strategic national resource, fueling AI-driven discoveries across disciplines.
Building a Comprehensive Cluster of Data Journals
Data Express serves as the flagship of an ambitious cluster comprising one comprehensive title and 19 discipline-specific journals. These cover critical areas including AI corpus research, ecosystem science, ocean science, lightning data, biomedicine, materials science, and agriculture. The structure aligns closely with China’s national science data center system, ensuring a robust pipeline of submissions from established sub-centers nationwide.
This clustered approach represents a shift from fragmented efforts to coordinated leadership in scientific data sharing. Officials highlighted how the initiative fills longstanding gaps in China’s high-end data publishing sector while fostering barrier-free global collaboration.
Addressing Data Sovereignty and the “Both Ends Outside” Challenge
A key motivation behind the launch is China’s desire to retain control over its scientific data. For years, Chinese researchers have often published papers and stored associated datasets on foreign platforms, creating vulnerabilities in data sovereignty. Data Express and its supporting SciEngine platform, developed domestically by China Science Publishing & Media, directly tackle this issue.
The platform connects seamlessly with major international databases such as Web of Science and Scopus, guaranteeing global visibility while keeping data within a Chinese-controlled ecosystem. This dual benefit supports both international reach and national strategic interests.
Recognizing Data Papers as Formal Academic Outputs
One of the most significant implications for Chinese higher education lies in the formal recognition of data papers as legitimate academic contributions. The CAS is currently drafting guiding measures to incorporate these outputs into professional promotion evaluations and degree-awarding processes at its institutes and affiliated universities.
This policy shift could reshape incentives for researchers, particularly early-career academics and PhD candidates, encouraging greater emphasis on data curation, documentation, and sharing alongside traditional article publication.
Supporting AI for Science and New Research Paradigms
Scientific data journals like Data Express play a pivotal role in the emerging “AI for Science” paradigm. High-quality, well-documented datasets—including negative or null results—provide essential training corpora for AI models and help researchers avoid duplicating efforts, especially in fields such as materials science.
By welcoming such contributions, the journal cluster supports more efficient, reproducible, and collaborative research practices across Chinese universities and research institutions.
International Competitiveness and Global Reach
Chinese scholars already account for nearly 40 percent of the world’s high-quality scientific papers. With this new infrastructure, CAS leaders expressed confidence that the journal cluster will compete effectively on the international stage and potentially surpass existing leaders in the data journal field.
The initiative builds on the earlier launch of China Scientific Data in 2016, the country’s first Chinese-language data journal, demonstrating steady progress in aligning with global standards while advancing domestic capabilities.
Implications for Chinese Universities and Researchers
Universities and research institutes under the CAS umbrella stand to benefit significantly. The emphasis on data sharing and formal recognition of data contributions may influence hiring, tenure, and promotion criteria, creating new opportunities for specialists in data management, curation, and open science.
PhD-track researchers and postdoctoral scholars may find expanded avenues for impactful work that combines domain expertise with data stewardship skills, enhancing employability both within China and internationally.
Future Outlook and Strategic Alignment
The launch aligns with broader national strategies to build world-class scientific journals and integrate education, science, technology, and talent development. As the cluster expands over the coming year, it is expected to strengthen China’s position in global scientific governance and data-driven innovation.
Stakeholders anticipate that Data Express will serve as a model for other nations seeking to balance open science principles with data sovereignty concerns.
