公共数据基准定价模式的构建与实现路径

Construction and Implementation Path of a Public Data Benchmark Pricing Model

中文关键词:  公共数据  数据要素  数据定价  数据交易  基准定价模式

英文关键词:public data  data elements  data pricing  data transaction  benchmark pricing model

中文摘要:

      数据已经成为重要的生产要素,数据要素市场的发展得到了广泛关注,但数据定价问题依然是制约数据要素市场发展的关键因素。鉴于不同类型数据定价之间的关联性需要增强以及数据定价困境需要突破,有必要尽快构建公共数据基准定价模式。受到内在与外在因素的制约,公共数据基准定价模式的构建应以可交易公共数据为核心。公共数据基准定价模式的实现路径包括:确立基准定价模式的原则,确认可参与基准定价的公共数据,明确可交易公共数据的价值衡量依据,以及确定可交易公共数据的基准价格。在公共数据基准定价模式下,可交易公共数据的价值应依据数据质量、数据基础成本并参考第三方评估结果来衡量。在公共数据服务公司、政府有关部门和数据交易所等主体的共同推动下,可交易公共数据基准价格得以形成,从而公共数据基准定价模式得以确立。

英文摘要:

      Data has become an important factor of production, and the development of the data element market has received widespread attention. However, data pricing remains a key factor restricting the development of the data element market. Given the need to enhance the interconnectedness of pricing across different data types and to break through the data pricing dilemma, it is necessary to construct a public data benchmark pricing model. Due to internal and external constraints, the construction of such a model should center on tradable public data. The implementation path for the benchmark pricing model comprises four steps:(1) establishing the principles of the model; (2) identifying public data eligible for inclusion in benchmark pricing; (3) clarifying value measurement criteria for tradable public data; and (4) determining the benchmark price for tradable public data. Under this model, the value of tradable public data should be assessed based on data quality, basic costs, and third-party assessment results. Through coordinated efforts among public data service providers, relevant government agencies, and data exchanges, the benchmark price for tradable public data can be formed, thereby institutionalizing the public data benchmark pricing model. 