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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.