Revisiting Online Data Markets in 2022

Author:

Kennedy Javen1,Subramaniam Pranav1,Galhotra Sainyam1,Castro Fernandez Raul1

Affiliation:

1. University of Chicago, Chicago, IL, USA

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Reference51 articles.

1. Amazon https://amazon.com. Amazon https://amazon.com.

2. Bloomberg https://www.bloomberg.com/. Bloomberg https://www.bloomberg.com/.

3. California consumer privacy act (ccpa) https://oag.ca.gov/privacy/ccpa. California consumer privacy act (ccpa) https://oag.ca.gov/privacy/ccpa.

4. Data dividend project https://www.datadividendproject.com/. Data dividend project https://www.datadividendproject.com/.

5. Facebook {https://facebook.com}. Facebook {https://facebook.com}.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3