Abstract: This study aims to construct a scientific data quality evaluation indicator system as a fundamental basis for promoting the market-oriented allocation of data elements. It provides a quantitative benchmark for the transformation of data resources into assets and capital, thereby supporting the development of a value circulation mechanism in the data element market. Based on grounded theory, this study systematically analyzes policy documents, technical standards, and expert interview materials to build a multi-level evaluation indicator system comprising four main dimensions—compliance characteristics, scale-related attributes, content-specific properties, and value-oriented features—with 12 first-level indicators and 32 second-level indicators. This study further adopts the Analytic Hierarchy Process (AHP) and expert consultation methods to determine indicator weights and develop a practical, operable comprehensive evaluation model. Empirical validation through the selection of high-quality datasets in Hubei Province demonstrates the model’s effectiveness and practical applicability. The findings provide theoretical support and practical references for data asset valuation, improving data circulation efficiency, and optimizing value transformation pathways.

Key words: High-quality datasets, Grounded theory, Evaluation indicator system, Data elements, Data circulation and transaction