数据市场的数据定价研究综述
A Survey of Data Pricing for Data Marketplaces
摘要：
数据市场是一个在线场所，将数据所有者，数据经纪人和数据消费者聚集在一起，并促进他们之间的数据商品化。数据定价作为数据市场的一个关键功能，要求量化数据的货币价值。大量关于数据定价的研究可以在文献中找到。本文试图全面回顾现有数据定价研究的最新进展，以提供对这一新兴研究领域的总体了解。我们的主要贡献在于数据定价研究的新分类，统一了确定数据价格的不同属性。我们的框架的基础上分类这些研究的市场结构，无论是卖方，买方，或双边。然后在卖方市场中，研究进一步划分为查询类型，定义了数据消费者访问数据的方式，而在买方市场中，研究根据隐私概念进行划分，定义了量化数据所有者隐私的方式。在双边市场中，隐私概念和查询类型都被用作标准。我们系统地检查了属于我们分类法中每个类别的研究。最后，我们讨论了现有研究中的差距，并确定了未来的研究方向。
英文摘要：
A data marketplace is an online venue that brings data owners, data brokers, and data consumers together and facilitates commoditisation of data amongst them. Data pricing, as a key function of a data marketplace, demands quantifying the monetary value of data. A considerable number of studies on data pricing can be found in literature. This paper attempts to comprehensively review the state-of-the-art on existing data pricing studies to provide a general understanding of this emerging research area. Our key contribution lies in a new taxonomy of data pricing studies that unifies different attributes determining data prices. The basis of our framework categorises these studies by the kind of market structure, be it sell-side, buy-side, or two-sided. Then in a sell-side market, the studies are further divided by query type, which defines the way a data consumer accesses data, while in a buy-side market, the studies are divided according to privacy notion, which defines the way to quantify privacy of data owners. In a two-sided market, both privacy notion and query type are used as criteria. We systematically examine the studies falling into each category in our taxonomy. Lastly, we discuss gaps within the existing research and define future research directions.
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