Data elements, as an important new type of productive force in the digital economy era, the revenue distribution mechanism is the key to promoting the healthy development of the data element market. The research on cross-domain and multi-source data revenue distribution mechanism is still in its initial stage and lacks mature solutions. Based on cooperative game theory, this paper incorporates the non-exclusivity of data elements, data quality, data integration and other factors as incentive mechanisms into the Shapley value method. On this basis, the connection relationship between members is combined to propose an improved Myerson value method as the solution of cooperative game to solve the cross-domain and multi-source data revenue distribution problem. The research results show that the network structure has a significant impact on the value creation, marginal contribution and revenue distribution of data resources. The incentive mechanism can effectively adjust the revenue distribution between members and finally form a fairer and more reasonable revenue distribution pattern. This study provides new ideas and methods for the cross-domain and multi-source data revenue distribution mechanism, which has important theoretical value and practical significance for constructing a perfect data element market trading system, realizing the value release of data elements and promoting the high-quality development of the digital economy.