Defining the Scope of"Data"to"Tradeable Data"from the Perspective of On Exchange Data Trading Models
Data is a valuable resource,and due to its profitable circulation,data transactions can be generated.In recent years,due to the standardized advantages of on exchange data exchanges,their number has continued to increase,but it has also led to inconsistent data trading rules in different regions,resulting in unclear data trading targets.The quality standards of transaction data are inconsistent.In addition,as a data transaction process that involves multiple stages of participation and coordination,the prosperity and development of digital transactions cannot be separated from an understanding of the essence of data.In order to strengthen the understanding of data,promote the circulation of data,and improve the data trading system,it is necessary to clarify the types and categories of tradable data,and at the same time require exchanges and other intermediary structures to undertake certain review obligations to ensure that on exchange data trading is conducted legally and compliantly.The article aims to study how to expand data sources while maintaining legal and compliant data trading from the perspective of on exchange data trading models,in order to provide dynamic support for on exchange data trading and promote the full value of data.
NETL
NSTL
万方数据
