大数据交易规则的实证考察与重构

Empirical Study and Reconstruction of Big Data Trading Rules

摘要: 国外数据交易市场由于起步较早，经过多年的发展逐步趋于成熟，国内为顺应时代潮流正加快数据交易市场规范化建设，鼓励支持大数据交易平台创立，给数据交易创造公平、自由的市场环境。然而在数据交易平台的实际交易过程中，不可避免地出现一些问题。本文将通过对我国大数据交易平台的交易模式、盈利模式和交易规则进行研究，分析现存大数据交易平台的规制缺陷，从而提出可行的解决方案。研究发现，为了适应我国加快培育发展数据要素市场的现实情况，提高大数据交易质量与效率，降低数据交易风险，激活数据交易市场的潜力，应当明确数据交易平台的功能定位，探寻适合数据交易市场的交易规则和盈利模式，并在国家法律法规和政策方面同步更新，以期交易制度本身与配套制度可以相辅相成。

Abstract: Due to the early start of foreign data trading market, after many years of development gradually matured, in order to comply with the trend of the times, China is speeding up the standardization of data trading market, encouraging and supporting the establishment of Big Data Trading Platform, and creating a fair and free market for data trading. However, some problems inevitably arise in the actual trading process of data trading platform. This paper will study the trading model, profit model and trading rules of our country’s big data trading platform, analyze the regulatory defects of existing big data trading platform, and propose a feasible solution. In order to adapt to the reality of accelerating the development of data element market in our country, improve the quality and efficiency of big data transaction, reduce the risk of data transaction and activate the potential of data transaction market, the functional orientation of the data trading platform should be clarified, the trading rules and profit models suitable for the data trading market should be explored, the relevant national laws and regulations and policies should be updated simultaneously, and the transaction system itself and the supporting system can complement each other.