论文标题

数据市场及其业务模型的调查

A Survey of Data Marketplaces and Their Business Models

论文作者

Azcoitia, Santiago Andrés, Laoutaris, Nikolaos

论文摘要

就像土地,基础设施,劳动力或资本一样,“数据”正成为必不可少的生产因素。作为其中的一部分,不同领域中的无数应用需要大量信息来饲养模型和算法,负责在生产链和业务流程中关键作用。从自动化某些功能到促进数据驱动组织的决策的任务越来越多地从获取第三方的数据输入中受益。为了应对这一需求,新实体和新颖的业务模型的目的是将这些数据要求与合适的提供商匹配并促进信息交换。在本文中,我们介绍了有关互联网上实体交易数据的最新调查的结果和结论,以及研究界的新型数据市场设计。

"Data" is becoming an indispensable production factor, just like land, infrastructure, labor or capital. As part of this, a myriad of applications in different sectors require huge amounts of information to feed models and algorithms responsible for critical roles in production chains and business processes. Tasks ranging from automating certain functions to facilitating decision-making in data-driven organizations increasingly benefit from acquiring data inputs from third parties. Responding to this demand, new entities and novel business models have appeared with the aim of matching such data requirements with the right providers and facilitating the exchange of information. In this paper, we present the results and conclusions of a comprehensive survey on the state of the art of entities trading data on the internet, as well as novel data marketplace designs from the research community.

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