Research on Government Data Governance in the Era of Large Language Model

Data is the fifth major factor of production, following land, labor, capital, and technology. Data governance is a crucial component of government administration, offering a new paradigm for addressing long-standing issues and enhancing governmental capabilities. With the advancement of artificial intelligence, strengthening government data governance through AI is a pressing issue for all levels of party committees and governments, as well as an important theoretical topic in academia for the foreseeable future. Based on this, studying the government data governance system from the perspective of artificial intelligence has significant practical implications for promoting governmental innovation, improving government service levels, and advancing the modernization of the national governance system and governance capabilities. This paper focuses on the government data governance system, using the data life cycle theory and digital governance theory as the main theoretical foundations. It employs literature analysis methods, survey methods, and other primary research methods, aiming to provide insights and suggestions for establishing and improving the government data governance system in the context of the era of large language model.