国内外大数据交易平台调研分析
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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。
[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.
[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.
引文
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[2] 汤琪.大数据交易中的产权问题研究[J].图书与情报,2016(4):38-45.
[3] 冯登国,张敏,李昊.大数据安全与隐私保护[J].计算机学报,2014,37(1):246-258.
[4] 单志广.国家大数据发展的顶层设计数据强国战略的冲锋号角——《关于促进大数据发展行动纲要》的几点解读[J].财经界,2015(10):30-35.
[5] 张敏.交易安全视域下我国大数据交易的法律监管[J].情报杂志,2017,36(2):127-133.
[6] Borodo S M,Shamsuddin S M,Hasan S.Big data platforms and techniques[J].Indonesian Journal of Electrical Engineering and Computer Science,2016,1(01):191-200.
[7] 何培育,王潇睿.我国大数据交易平台的现实困境及对策研究[J].现代情报,2017,37(8):98-105,153.
[8] Singh D,Reddy C K.A survey on platforms for big data analytics[J].Journal of Big Data,2015,2(1):8.
[9] Executive Office of the President.Big Data:Seizing Opportunities,Preserving Values[EB/OL]. [2018-07-02]. https://obamawhitehouse.archives.gov/sites/default/files/docs/big_data_privacy_report_5.1.14_final_print.pdf.
[10] Nir Kshetri.Big data's impact on privacy,security and consumer welfare[J].Telecommunications Policy,2014,38(11):1134-1145.
[11] 郭明军,安小米,洪学海.关于规范大数据交易充分释放大数据价值的研究[J].电子政务,2018(1):31-37.
[12] 杨茂江.基于密码和区块链技术的数据交易平台设计[J].信息通信技术,2016(4):24-31.