With the deep penetration of digital technologies, while pursuing efficiency and competitiveness, enterprises are also confronted with digital ethical risks such as data misuse and algorithmic discrimination. Consequently, corporate digital responsibility (CDR) has increasingly attracted scholarly attention. However, extant studies on CDR still face challenges such as ambiguous conceptual definitions, fragmented dimensional structures, and weak measurement approaches, which constrain further theoretical exploration. This study aims to construct a structural framework and measurement scheme for CDR. First, building on a review of extant conceptual research, this study develops a digitalization-centered structural framework of CDR. In this framework, corporate social responsibility serves as an overarching value anchor at the upper level, while digital elements, digital technologies, digital management, and digital value constitute the core architecture following a dynamic "starting point-process-governance-outcomes" logic, through which CDR is articulated and operationalized. Second, a measurement scheme for CDR is designed by integrating procedures and methods including the construction of a feature lexicon, natural language processing, corporate impression management correction, and data calibration. Finally, the automotive manufacturing industry is selected for empirical measurement, providing initial evidence for the effectiveness of the proposed scheme. This study contributes to enhancing the clarity and measurability of CDR concept, not only laying a foundational for variable construction and measurement in quantitative research, but also providing referential indicators and a feasible scheme for assessing CDR.