On November 7, 2024, the annual review meeting and biodiversity identification application workshop for the National Key Research and Development Program of China "Research and Application of Key Technologies for Trusted Services of Typical Science and Technology Resources identification " was successfully convened in Guangzhou. The meeting brought together over 20 experts and project key members from prestigious institutions including the China National Institute of Standardization, National Space Science Center, Chinese Academy of Sciences, South China University of Technology, Dalian University of Technology, Nanjing Institute of Agricultural Mechanization of the Ministry of Agriculture and Rural Affairs, Dinghushan National Field Observation and Research Station of Forest Ecosystem, and Technology and Engineering Center for Space Utilization of the Chinese Academy of Sciences. The meeting was chaired by Professor Zhou Yuanchun, Deputy Director of the Computer Network Information Center (CNIC) of the Chinese Academy of Sciences (CAS) and principal investigator of the project.

The project team delivered detailed reports on the annual progress, achievements, and next steps for each sub-task. Experts engaged in thorough discussions regarding the highlighted outcomes and future research directions. They unanimously recognized that the project has not only fulfilled its annual targets but also closely aligned with national strategic needs. By consistently focusing on science and technology resources identification and effectively addressing practical bottlenecks, the project has demonstrated significant value. The experts recommended further refinement of key technologies, enhanced top-level design, and improved coordination among sub-tasks to better highlight the project's characteristics within the National Quality Infrastructure (NQI) framework.

As an application pilot unit, the south China botanical garden, Chinese academy of sciences presented on the application of science and technology resources identification in the biodiversity field. Experts fully affirmed the value of these identifiers in biodiversity applications and recommended that the project team deeply integrate scenario-specific requirements. They suggested further research on key issues such as encoding mechanisms adapted to domain characteristics and heterogeneous resolution, aiming to develop representative application demonstrations.