From September 21 to 23, 2026, Liu Liehong, Party Secretary and Director of the National Data Administration visited Suzhou, Taizhou, and Yangzhou in Jiangsu Province for research, and visited Meijia Technology, Kangwei Century, Yangzijiang Pharmaceutical, Fudan University Taizhou Health Science Research Institute, Baiying Biology, Taizhou Healthcare Digital Intelligence Innovation Laboratory, Lehe Data, China Aviation Airborne Systems, Fengshang Technology, etc. to conduct field research and hold symposiums. Jiangsu Data Group, Jiangsu Traffic Control, Nanjing Meteorological Bureau, Nanjing Big Data Group, Wuxi Data Group, and Nanyinya Franco-Palestinian consumer finance, deep-sea technology and science experiments in Taihu Lake The office, Changzhou Healthcare Big Data Company, etc. participated in discussions and exchanges and introduced relevant situations. Judging from the research situation, Jiangsu Province leverages its strong industrial base and innovative resource agglomeration advantages, promotes the development and utilization of data resources, scenario construction and industry cultivation in an integrated manner, actively explores effective ways for data to enable industrial transformation and upgrading and the development of new types of productivity, and has accumulated practical experience for deepening the reform of market-based allocation of data elements. In terms of the development and utilization of public data resources, a “Su Zhengyuan” integrated digital resource platform was built, and a “knock on the door” operation was carried out for 95 provincial departments to connect the supply and demand of digital resources, so as to achieve “one account” management of public data throughout the province. A provincial and municipal integrated public data authorization and operation platform was built, 1808 categories of authorized operation catalogues were published, more than 20 billion pieces of data were supplied to authorized operators, and public data products were used more than one million times by the market. In terms of data integration applications and scenario construction, we focus on key industries such as healthcare, transportation and logistics, etc., using scenarios as a guide to promote integrated development and utilization of public data and enterprise data, open up key links such as data authorization, circulation and utilization, revenue distribution, and security management, and promote the formation of a closed loop of data element value. Taizhou relies on characteristic data foundations such as population cohorts and integrates “three medical” data to effectively support the development of pharmaceutical industries such as early disease screening, innovative drug research and development, accurate diagnosis and treatment, and health management. In terms of cultivating the data industry, the scale of the data industry in the province has reached 470 billion yuan. The public service system for the data industry has been continuously improved, and the provincial digital intelligence economy innovation and entrepreneurship enabling center has been built to provide data developers with data, computing power, and development environment support. Through the establishment of innovative consortia, leading enterprises such as pharmaceuticals and equipment will be promoted to open up data and scenarios, give full play to the role of data group data in resource organization, value discovery, and ecological connection, stimulate the data, technology and engineering service capabilities of innovative enterprises, and promote the formation of an open and collaborative industrial ecosystem with scenario co-construction, joint development, and benefit sharing. In terms of data elements empowering artificial intelligence innovation and development, build high-quality data sets for industries such as antibodies, pharmacodynamics, intellectual property rights, music science, canal culture, etc., explore new ways for terms to promote the value release of data elements, and accelerate the construction of innovative development models that drive data, data-driven models, and enable applications to create value.

From September 21 to 23, 2026, Liu Liehong, Party Secretary and Director of the National Data Administration visited Suzhou, Taizhou, and Yangzhou in Jiangsu Province for research, and visited Meijia Technology, Kangwei Century, Yangzijiang Pharmaceutical, Fudan University Taizhou Health Science Research Institute, Baiying Biology, Taizhou Healthcare Digital Intelligence Innovation Laboratory, Lehe Data, China Aviation Airborne Systems, Fengshang Technology, etc. to conduct field research and hold symposiums. Jiangsu Data Group, Jiangsu Traffic Control, Nanjing Meteorological Bureau, Nanjing Big Data Group, Wuxi Data Group, and Nanyinya Franco-Palestinian consumer finance, deep-sea technology and science experiments in Taihu Lake The office, Changzhou Healthcare Big Data Company, etc. participated in discussions and exchanges and introduced relevant situations. Judging from the research situation, Jiangsu Province leverages its strong industrial base and innovative resource agglomeration advantages, promotes the development and utilization of data resources, scenario construction and industry cultivation in an integrated manner, actively explores effective ways for data to enable industrial transformation and upgrading and the development of new types of productivity, and has accumulated practical experience for deepening the reform of market-based allocation of data elements. In terms of the development and utilization of public data resources, a “Su Zhengyuan” integrated digital resource platform was built, and a “knock on the door” operation was carried out for 95 provincial departments to connect the supply and demand of digital resources, so as to achieve “one account” management of public data throughout the province. A provincial and municipal integrated public data authorization and operation platform was built, 1808 categories of authorized operation catalogues were published, more than 20 billion pieces of data were supplied to authorized operators, and public data products were used more than one million times by the market. In terms of data integration applications and scenario construction, we focus on key industries such as healthcare, transportation and logistics, etc., using scenarios as a guide to promote integrated development and utilization of public data and enterprise data, open up key links such as data authorization, circulation and utilization, revenue distribution, and security management, and promote the formation of a closed loop of data element value. Taizhou relies on characteristic data foundations such as population cohorts and integrates “three medical” data to effectively support the development of pharmaceutical industries such as early disease screening, innovative drug research and development, accurate diagnosis and treatment, and health management. In terms of cultivating the data industry, the scale of the data industry in the province has reached 470 billion yuan. The public service system for the data industry has been continuously improved, and the provincial digital intelligence economy innovation and entrepreneurship enabling center has been built to provide data developers with data, computing power, and development environment support. Through the establishment of innovative consortia, leading enterprises such as pharmaceuticals and equipment will be promoted to open up data and scenarios, give full play to the role of data group data in resource organization, value discovery, and ecological connection, stimulate the data, technology and engineering service capabilities of innovative enterprises, and promote the formation of an open and collaborative industrial ecosystem with scenario co-construction, joint development, and benefit sharing. In terms of data elements empowering artificial intelligence innovation and development, build high-quality data sets for industries such as antibodies, pharmacodynamics, intellectual property rights, music science, canal culture, etc., explore new ways for terms to promote the value release of data elements, and accelerate the construction of innovative development models that drive data, data-driven models, and enable applications to create value.