A Survey on Big Data Market: Pricing, Trading and Protection

Fan, Lei; Yu, Wei; An, Dou; Yang, Qingyu; Fu, Xinwen; Zhao, Wei

doi:10.1109/access.2018.2806881

Cited by 239 publications

(82 citation statements)

References 103 publications

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“…However, data have special characteristics as compared to tangible goods. Data are easy to transport, share, or copy, and they can be equally used in any location or environment, which gives them advantages over any other product [24]. Compared to tangible goods, there are no established rules and market mechanisms for pricing data assets [17,28].…”

Section: Data As the Main Assets In Business Modelsmentioning

confidence: 99%

Discovering Business Models of Data Marketplaces

Fruhwirth¹,

Rachinger

Prlja³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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The modern economy relies heavily on data as a resource for advancement and growth. Data marketplaces have gained an increasing amount of attention, since they provide possibilities to exchange, trade and access data across organizations. Due to the rapid development of the field, the research on business models of data marketplaces is fragmented. We aimed to address this issue in this article by identifying the dimensions and characteristics of data marketplaces from a business model perspective. Following a rigorous process for taxonomy building, we propose a business model taxonomy for data marketplaces. Using evidence collected from a final sample of twenty data marketplaces, we analyze the frequency of specific characteristics of data marketplaces. In addition, we identify four data marketplace business model archetypes. The findings reveal the impact of the structure of data marketplaces as well as the relevance of anonymity and encryption for identified data marketplace archetypes.

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Section: Data As the Main Assets In Business Modelsmentioning

confidence: 99%

Discovering Business Models of Data Marketplaces

Fruhwirth¹,

Rachinger

Prlja³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…With the exponential growth of data, how to efficiently utilities the data becomes a critical issue. This calls for the development of a big data platform that enables efficient data utilization between data providers and data consumers (Machine learning) [15]. In the data market, three agents are involved, namely, the seller who provides the datasets, the buyer who is interested in buying ML models instance, and the market who interacts between the seller and buyer.…”

Section: Data Marketmentioning

confidence: 99%

A Brief Survey of Data Pricing for Machine Learning

Tang¹,

Lv²,

Wu³

2020

8th International Conference on Signal, Image Processing and Pattern Recognition

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Big data and machine learning are poised to revolutionize the field of artificial intelligence and represent a step towards building an intelligent society. Big data is considered to be the key to unlocking the next great waves of growth in productivity, the value of data is realized through machine learning. In this survey, we begin with an introduction to the general field of data pricing and distributed machine learning then progress to the main streams of data pricing and mechanism design methods. Our survey will cover several current areas of research within the field of data pricing, including the incentive mechanism design for federated learning, reinforcement learning, auction, crowdsourcing, and blockchain, especially, focus on reward function for machine learning and payment scheme. In parallel, we highlight the pricing scheme in data transactions, focusing on data evaluation via distributed machine learning. To conclude, we discuss some research challenges and future directions of data pricing for machine learning.

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“…Though new, monetization through legal exchange (sale) of data is developing into big commerce at the massive scale without geographical boundaries. Full-fledged data exchange is operational in China [20]. Success stories from Amazon, Cargill, Merck [4] are leading others to take plunge into big data for profits.…”

Section: Data Monetizationmentioning

confidence: 99%

“…editor@iaeme.com Extremes of opportunities are presented by Fan Liang et al in their work "A Survey on Big Data Market: Pricing, Trading and Protection". Data trading of used data is being argued to generate value through inter changeable technologies of data mining and analytics [20].…”

Section: Data Monetizationmentioning

confidence: 99%