【摘要】 [目的/意义]大数据交易平台的出现,促进了数据的流通和共享,削减了"信息孤岛"现象,使得数据的价值能够得到较大程度的发挥。了解国内外大数据交易平台建设的现状有利于发现平台建设的不足,对其进行改进和完善,进一步提高数据共享效率。[方法/过程]在文献调研和网站调研的基础上,从交易平台类型、交易平台的数据来源、产品类型、平台交易产品涉及的主要领域、平台的交易规则五个方面对国内外大数据交易平台进行分析。[结果/结论]研究发现我国综合性交易平台居多,数据来源渠道较广,而国外发挥了数据社区的价值,并且有针对具体领域的交易平台。在调研分析的基础上,为我国大数据交易平台的建设与发展提出建议。更多还原

【Abstract】 [Purpose/Significance]The emergence of big data trading platform has promoted the circulation and sharing of data, and reduced the phenomenon of "information islands", so that the value of data can be exerted to a large extent. Understanding the current status of big data trading platform construction at home and abroad is conducive to discovering the shortcomings of platform construction, improving and perfecting it, and further improving the efficiency of data sharing.[Method/Process]Based on the literature research and website research, this paper analyzes the big data trading platform at home and abroad from five aspects: trading platform type, data source of trading platform, product type, main fields involved in platform trading products, and trading rules of platform.[Result/Conclusion]The study found that China has a large comprehensive trading platform and a wide range of data sources, while foreign countries have played a role in the value of data communities and have specific trading platforms. Based on the research and analysis, this paper makes recommendations for the construction and development of China’s big data trading platform.更多还原