A Novel Method of Data Element Trading and Asset Value Appreciation

Abstract

Data elements, as a new type of production factor, have begun to be integrated into the national economic value creation system. Data assetization is an important way to realize the value of data elements. However, data assetization belongs to a completely new field, and many fundamental issues remain to be solved. From a theoretical perspective, it is important to understand the connotation of data assets and data assetization, grasp the prerequisites for data assetization, and recognize the evolution rules and value realization methods of data assetization. From a practical perspective, current data assetization development faces problems such as the lack of data element classification and grading standards, the absence of data ownership standards and transaction system rules, the scarcity of data operators, and the absence of a data trading ecosystem. It is necessary to establish a data element classification and grading standard system as soon as possible, explore multi-dimensional classification and ownership mechanisms, and promote trial trading of data products with clear value application scenarios, gradually cultivating and enriching diverse data providers and data trading ecosystems.