This is the ninth in the series of short statements from candidates in the coming CODATA Elections at the General Assembly to be held on 17-18 October 2025. Lianglin Hu is a candidate for the CODATA Executive Committee as an Ordinary Member. He was nominated by China.
Professor Hu Lianglin currently serves as the Deputy Director of the Big Data Department at the Computer Network Information Center (CNIC), Chinese Academy of Sciences (CAS). He is also the Secretary General of CODATA China and the Director of the National Basic Science Data Center (NBSDC), the only national data center cross all basic science domains supported by the Ministry of Science and Technology and the Ministry of Finance of the People’s Republic of China. Additionally, he initiated and promoted CODATA’s work on data ethics. With over two decades of dedicated research and practical involvement in scientific data governance and open sharing, he has made significant contributions in areas such as the development and application of multidisciplinary data resources, data quality, data policy, data standards, data ethics, and open-sharing models, which include data publication since 2015 and new model based on trusted data spaces since 2024.
He actively participated in five consecutive CODATA conferences starting in 2004. In 2006, he took charge of organizing the China-US Roundtable on Scientific Data Cooperation. Furthermore, in 2021, he proposed the establishment of the CODATA Data Ethics Task Group, which was approved as a working group in 2022 and upgraded to a task group in 2023. Since then, he has been collaborating with Prof. Johannes John Langba, Dr. Andrew M. Cox, Dr. Louise Bezuidenhout, and others to promote research in this area. Additionally, serving as Secretary General of CODATA China since 2021, he has efficiently organized five successful China Science Data Conferences, with a total attendance exceeding 3,000 participants. During his tenure, the China Scientific Data Conference was restructured to facilitate discussions related to CODATA’s strategies, the implementation of FAIR principles, and other priorities proposed by the international data community. The latest conference, themed Scientific Data and Sustainable Development, attracted more than 500 data experts in China, including executives from 90% of national science data centers. Moreover, his dedication extends to promoting the work of GOSC’s data interoperability group, where he serves as secretary.
He conducted extensive research and practical work on the development and application of multidisciplinary data resources, data open-sharing service models, data quality, data standards, and data policy.
Multidisciplinary Data and its Cross-domain Applications. The NBSDC, which he leads, has gathered and managed basic science data across fields such as physics, chemistry, materials science, zoology, botany, and information science, with a total data volume exceeding 3 petabytes. Since 2024, he has organized numerous meetings focused on interdisciplinary research driven by scientific data and has funded five projects studying urban environmental health, the impact of geographical ecology on human development, drug research on natural products, and more.
Data Open-sharing Models. He collaborated with Professor Li Jianhui to introduce the FAIR principles and data publishing in China. Together, they successfully launched China Scientific Data (http://www.csdata.org/en), the first bilingual and multidisciplinary open-access data journal. They also established the Science Data Bank (https://www.scidb.cn/en) as a supporting data repository, which later became the designated general repository for Nature journals. With the fundamental changes brought about by AI access to data and the increasing demand from data sharers to understand the subsequent utilization of their data, starting in 2024, he led his team to explore data service models based on trusted data spaces. In July 2025, NBSDC’s Basic Science Data Space was successfully selected as a 2025 Trusted Data Space Development Pilot by the National Data Administration.
Data Quality. He proposed a comprehensive framework based on the scientific data life cycle, including an evaluation index system with corresponding methods and a maturity model for assessing data quality. This model has been widely adopted in China and has contributed to the development of certification standards. Additionally, he played a key role in establishing important national standards such as GB/T 34945-2017 Data Provenance Descriptive Model, GB/T 36344-2018 Evaluation Indicators for Data Quality, and GB/T 43707-2025 Scientific Data Provenance Metadata, and his team developed a series of software to support the implementation of the standards, some of which were introduced in last year’s training class for developing countries.
Data standard. He proposed a comprehensive framework for the scientific data standard system and led the development of more than 40 standards covering all stages of the scientific data life cycle, including both national and group standards. The Chinese national standard “GB/T 42813-2023 Data Paper Publication Metadata, by his team, was announced on the official website of the Chinese government, and recommended for adoption as a proposed standard by ISO/TC 46 at the 52nd annual meeting in 2025. Furthermore, since 2022, he has served as China’s expert for ISO/TC 184/SC 4/WG 13 – Industrial Data Quality.
Data Policy. He led the development and implementation of a CAS-level data policy titled “Measures for Scientific Data Management and Open Sharing in CAS” in 2019. As AI increasingly accesses data, he has guided his graduate students in developing a comprehensive ethical framework that integrates data, algorithms, models, and applications into a unified four-layer structure. To address data providers’ needs regarding data usage, he led his team in establishing a feedback policy to improve data service quality.
If elected as a member of the CODATA committee, he will fully leverage his existing work foundation to advance CODATA’s activities and objectives.
As the Secretary General of CODATA China, he will continue to promote CODATA China and support Chinese scientific data experts in making greater contributions to CODATA. His efforts will particularly focus on advancing CODATA’s strategic objectives: to share China’s data resources and interdisciplinary case studies for “Making Data Work”, to promote the sharing of good practices between experts in China, other countries and regions on data policy and standards for “Promoting Data Policy”, to advance international training workshops and various conferences in China for “Data Science and AI for Science”.
As the director of the NBSDC, he will provide data resources and testing environments for CODATA’s initiative, Data Work for Cross-Domain Grand Challenges, for WorldFAIR+. The NBSDC is eager to collaborate with all scientific data centers—including GOSC, EOSC, ARDC, AOSP, MOPS, NDRIO, NFDI—and other data service institutions or platforms to collectively address challenges related to cross-border and cross-language data resource discovery and collaborative services, which will be grounded in emerging technologies such as trusted data spaces and large language models (LLMs).
As a data standards expert, he will actively promote the development of CODATA policies, including standards and ethics. Furthermore, he will collaborate with CODATA colleagues to support interoperability among standards and data infrastructures, facilitating the demonstration of open science at regional and global levels under policy guidance and ethical constraints.