从“数据”到“可交易数据”的范畴界定——以场内数据交易模式为视角

Defining the Scope of"Data"to"Tradeable Data"from the Perspective of On Exchange Data Trading Models

数据是具有价值的资源,因其流通具有获利性,数据交易得以产生。近年来,由于场内数据交易所具有规范化的优势,其数量不断增加,但是也导致了各地数据交易规则不一,产生数据交易对象不明。交易数据的质量标准不一等问题。此外,作为多环节参与配合的数据交易流程,数据交易的繁荣发展离不开对数据本质的认识。为了加强对数据的认识,促进数据的流通,完善数据交易制度,应当明确可交易数据的种类和范畴,同时要求交易所和其他中介结构承担一定的审查义务,以保障场内数据交易合法合规地进行。文章旨在从场内数据交易模式的角度,对如何扩大数据来源的同时保持数据合法合规交易进行研究,以期能够为场内数据交易提供动力支持,促使数据充分发挥应有价值。

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.