The inclusion of data assets in financial statements supports the capitalization of data resources, offering new pathways for enterprise asset management and business model innovation. By unlocking the potential value of data, it drives the high-quality growth of the digital economy and supports digital transformation. However, efforts to recognize data asset face key challenges, including the lack of standardized frameworks and the limitations of traditional valuation methods. To address these issues, the paper proposes a general framework and practical approach to guide the inclusion of data assets. The framework helps enterprises systematically understand the strategic value of data asset recognition, identify the necessary preparatory steps, and navigate the implementation process. It offers both theoretical insight and practical guidance to support the effective adoption of data asset inclusion.