Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective: ACM SIGMOD Record: Vol 51, No 3

Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez
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Abstract

Well-functioning data markets match sellers with buyers to allocate data effectively. Although most of today's data markets fall short of this ideal, there is a renewed interest in online data marketplaces that may fulfill the promise of data markets. In this paper, we survey participants of some of the most common data marketplaces to understand the platforms' upsides and downsides. We find that buyers and sellers spend the majority of their time and effort in price negotiations. Although the markets work as an effective storefront that lets buyers find useful data fast, the high transaction costs required to negotiate price and circumvent the information asymmetry that exists between buyers and sellers indicates that today's marketplaces are still far from offering an effective solution to data trading. We draw on the results of the interviews to present potential opportunities for improvement and future research.

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重新审视在线数据市场在2022年:卖方和买方的观点:ACM SIGMOD记录:Vol 51, No . 3
运作良好的数据市场将卖家和买家匹配起来,有效地分配数据。尽管今天的大多数数据市场都达不到这一理想,但人们对在线数据市场重新产生了兴趣,这可能会实现数据市场的承诺。在本文中,我们调查了一些最常见的数据市场的参与者,以了解平台的优点和缺点。我们发现买卖双方把大部分时间和精力都花在价格谈判上。尽管市场是一个有效的店面,可以让买家快速找到有用的数据,但谈判价格和规避买家和卖家之间存在的信息不对称所需的高交易成本表明,今天的市场还远远不能为数据交易提供有效的解决方案。我们利用访谈的结果来提出改进和未来研究的潜在机会。
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