政策目标导向的大数据发展水平评估体系构建

Construction of Evaluation Index System of Big Data Development Level Oriented to Policy Objectives

  • 摘要: 数据是新型国家战略资源,建设现代化经济体系离不开大数据发展和应用。评估大数据发展水平,判断其与国家大数据发展整体目标的契合度,有利于助力大数据产业有序发展。本研究梳理、借鉴国内外已有相关评估体系,采用施特劳斯和科宾的程序性扎根理论方法,以我国大数据发展政策为基础,设计了一套包括大数据发展环境、实施保障、数据建设、行业应用和创新发展五个维度的大数据发展水平综合评估指标体系,并使用Python和Nvivo进行词频分析,确定了各项评估指标权重,以期为我国大数据进一步发展提出相应政策建议。

     

    Abstract: Data is a new national strategic resource, and building a modern economic system is inseparable from the development and application of big data. Evaluating the development level of the big data and assessing its alignment with the overall goal of national big data development will help the orderly development of big data industry. This study combs and draws lessons from the existing evaluation systems at home and abroad, adopts the procedural grounded theory of Strauss and Corbin, and designs a set of comprehensive evaluation index system of China’s big data development level, including five dimensions of big data development environment, implementation guarantee, data construction, industry application and innovation development, and uses Python and Nvivo to analyze the word frequency and determine the weight of each evaluation index, with a view to putting forward corresponding policy suggestions for the further development of China’s big data.

     

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