Core Insights - The forum on "High-Quality Data Set Construction and Innovative Applications in the Natural Resources Industry" was successfully held during the Second China Surveying and Geographic Information Conference, focusing on data construction standards and innovative application sharing [1][11] - The event attracted numerous experts and industry professionals from government, enterprises, and research institutions, highlighting the importance of high-quality data in modern governance [1][11] Group 1: Forum Highlights - The forum was hosted by Wu Zhigang, Chief Expert in Data from the China Electronic Information Industry Development Research Institute, with opening remarks from Li Weisen, President of the China Geographic Information Industry Association, and Hu Yuanqiao, General Manager of Shandong Land Development Group [4] - Li Weisen emphasized that natural resource data is a crucial foundation for modern governance, calling for enhanced standardization, intelligent integration, and collaborative ecosystem building to overcome current challenges [4] - Hu Yuanqiao pointed out that in the era of data-centric models, data quality directly impacts model capabilities, advocating for a collaborative approach to optimize construction layouts and promote data circulation [4][10] Group 2: Expert Insights - Wu Hongtao, Deputy Director and Chief Engineer of the Natural Resources Information Center, discussed the strategic focus on high-quality data sets in global AI competition, outlining a closed-loop system for data construction and application [7] - Li Zhenjun from Unicom Data Intelligence emphasized that large-scale, multi-modal, high-quality industry data sets are key to intelligent development, proposing a practical path for data set construction [8] - Various experts presented innovative applications of high-quality data sets across different sectors, showcasing their potential in driving digital transformation [9][10] Group 3: Future Directions - The successful forum marked a significant step towards data factorization and intelligent application in the natural resources industry, fostering a consensus on co-creating a new ecosystem for data applications [11] - As high-quality data set construction deepens and industry models are widely applied, a more intelligent, efficient, and green governance landscape for natural resources is emerging [11]