[Purpose/significance] Big data environment accelerates development and innovation in the field of data and information service. The purpose of this article is to provide reference and insight for relative practice and research work, with analyzing the development environment, theoretical foundation and exploratory practice of data marketplaces. [Method/process] Firstly, the development environment of data marketplaces was discussed from the perspective of the effects of big data on data management and service. Then we analyzed the theoretical foundation of data marketplaces, namely information lifecycle and value chain of big data. And then we analyzed the theoretical foundation of data marketplaces on the basis of the management processes and value chains for big data. Thirdly, the typically successful cases were discussed in order to discover the general patterns of data marketplaces. Finally we analyzed how data marketplaces help to discovery the value data trading. [Result/conclusion] Big data environment stimulates and promotes the emergence and development of data marketplaces to some extent. Information lifecycle and value chains of big data are important theoretical foundation of data marketplaces. The data bank and crowdsourcing are important service patterns of data marketplaces. Scientific research, business and government are the typically potential fields for data value discovery of data marketplaces.
Zhao Dongxiang
,
Chen Ye
,
Zhang Bin
. Data Marketplace and Its Values in Data Trading[J]. Library and Information Service, 2017
, 61(13)
: 5
-12
.
DOI: 10.13266/j.issn.0252-3116.2017.13.001
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