随着大数据应用的深入,大数据标准化的对象越来越广,内容也越来越复杂。由于缺乏相关标准,数据的互融互通受到严重影响,造成信息孤岛现象,降低了数据利用率,削弱了数据价值,进而阻碍了产业化发展。参照《促进大数据发展行动纲要》等文件对大数据标准体系建设的总体要求,本文探讨了大数据标准体系的构成及应用领域,研究了典型地区大数据标准建设实践,旨在加快推进中国大数据标准体系的建立,进而推进大数据产业有序发展。
<<As big data applications are getting deeper and deeper,big data standardization is now covering a broader range of objects and a more complex variety of contents. The lack of related standards harms industry development in multiple aspects,including serious impact on mutual fusion and interconnection of data,formation of information islands,reduction of data utilization rate and weakening of data values,thereby hindering industry development. According to the general requirements for the development of the big data standard system specified by the “Outline of Big Data Development Action”,this report will discuss the composition and application areas of the big data standard system and research the practices of typical regions in developing the standard system to propel the faster establishment of the Chinese standard system for big data and drive the development of the big data industry in order.
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