Navigating the Data Trading Crossroads: An Interdisciplinary Survey

Fuente: arXiv
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Auteurs principaux: Yu, Yi, Yu, Jingru, Wang, Xuhong, Li, Juanjuan, Lin, Yilun, He, Conghui, Yang, Yanqing, Qiao, Yu, Li, Li, Wang, Fei-Yue
Format: Preprint
Publié: 2024
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author Yu, Yi
Yu, Jingru
Wang, Xuhong
Li, Juanjuan
Lin, Yilun
He, Conghui
Yang, Yanqing
Qiao, Yu
Li, Li
Wang, Fei-Yue
author_facet Yu, Yi
Yu, Jingru
Wang, Xuhong
Li, Juanjuan
Lin, Yilun
He, Conghui
Yang, Yanqing
Qiao, Yu
Li, Li
Wang, Fei-Yue
contents Data has been increasingly recognized as a critical factor in the future economy. However, constructing an efficient data trading market faces challenges such as privacy breaches, data monopolies, and misuse. Despite numerous studies proposing algorithms to protect privacy and methods for pricing data, a comprehensive understanding of these issues and systemic solutions remain elusive. This paper provides an extensive review and evaluation of data trading research, aiming to identify existing problems, research gaps, and propose potential solutions. We categorize the challenges into three main areas: Compliance Challenges, Collateral Consequences, and Costly Transactions (the "3C problems"), all stemming from ambiguity in data rights. Through a quantitative analysis of the literature, we observe a paradigm shift from isolated solutions to integrated approaches. Addressing the unresolved issue of right ambiguity, we introduce the novel concept of "data usufruct," which allows individuals to use and benefit from data they do not own. This concept helps reframe data as a more conventional factor of production and aligns it with established economic theories, paving the way for a comprehensive framework of research theories, technical tools, and platforms. We hope this survey provides valuable insights and guidance for researchers, practitioners, and policymakers, thereby contributing to digital economy advancements.
format Preprint
id arxiv_https___arxiv_org_abs_2407_11466
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Navigating the Data Trading Crossroads: An Interdisciplinary Survey
Yu, Yi
Yu, Jingru
Wang, Xuhong
Li, Juanjuan
Lin, Yilun
He, Conghui
Yang, Yanqing
Qiao, Yu
Li, Li
Wang, Fei-Yue
Computers and Society
Data has been increasingly recognized as a critical factor in the future economy. However, constructing an efficient data trading market faces challenges such as privacy breaches, data monopolies, and misuse. Despite numerous studies proposing algorithms to protect privacy and methods for pricing data, a comprehensive understanding of these issues and systemic solutions remain elusive. This paper provides an extensive review and evaluation of data trading research, aiming to identify existing problems, research gaps, and propose potential solutions. We categorize the challenges into three main areas: Compliance Challenges, Collateral Consequences, and Costly Transactions (the "3C problems"), all stemming from ambiguity in data rights. Through a quantitative analysis of the literature, we observe a paradigm shift from isolated solutions to integrated approaches. Addressing the unresolved issue of right ambiguity, we introduce the novel concept of "data usufruct," which allows individuals to use and benefit from data they do not own. This concept helps reframe data as a more conventional factor of production and aligns it with established economic theories, paving the way for a comprehensive framework of research theories, technical tools, and platforms. We hope this survey provides valuable insights and guidance for researchers, practitioners, and policymakers, thereby contributing to digital economy advancements.
title Navigating the Data Trading Crossroads: An Interdisciplinary Survey
topic Computers and Society
url https://arxiv.org/abs/2407.11466