Assessment explores value factors of government data assets in AI and IoT contexts, suggesting innovative evaluation methods.
Government data assets contain huge economic and social values. They are the foundation for the development of the digital economy and the most active and crucial production factors in the operation of the economic society. With the rapid advancements in embedded intelligent systems, including AI, IoT, and smart applications, assessing the value of these assets becomes increasingly essential. This paper attempts to explore and study the relevant concepts of government data assets, analyzing the factors influencing the value of data assets. Then, relying on the theory of organizational semiotics, an evaluation index system for the value of government data assets is established from three aspects: subjectivity, situationality, and purposefulness. Based on the cost method, the analytic hierarchy process (AHP) and the fuzzy comprehensive evaluation are applied to calculate the adjustment coefficient of government data assets. Moreover, relevant conclusions are further verified through practical cases.
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Shu et al. (2025) studied this question.
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