当前,全球大数据正进入加速发展时期,以大数据为代表的新一代信息技术的国家战略布局和产业发展创新进入新高潮,大国间尤其中美之间战略竞争态势更趋激烈。中国共产党十九届四中全会首次提出数据可作为生产要素按贡献参与分配。美国的《联邦数据战略与2020年行动计划》指出,“将数据作为战略资源开发”是核心目标。由技术转向资产,成为中美两国大数据战略的共同关注点,也带动了大数据整体发展态势和未来趋势的重要变化。围绕这些变化,本文对大数据发展指数的核心理论模型——数据价值链模型进行了优化和完善,在此基础上对指标评价体系的测评重点和代表指标进行补充和调整,同时在最大程度上保持了与之前评价体系的一致性。
<<At present,global big data industry is entering a period of accelerated development. The national strategic layout and industrial development innovation centered on a new generation of information technology represented by big data have reached a new climax. The strategic competition among big countries,especially between China and the United States,is getting even fiercer. At the Fourth Plenary Session of the 19th CPC Central Committee,it was first proposed that data could be used as a production factor to participate in distribution according to contribution. The 2020 Federal Data Strategy Action Plan of the United States takes it as its core strategic objective to “develop data as a strategic resource”. The shift from technology to capital is a common focus of national strategy of both China and the United States,which also drives important changes in the overall development trends and prospects of the big data industry. Based on these changes,it optimizes and improves the Data Value Chain Model,which is the core theoretical model of big data development index. On this basis,it supplements and refines the priorities and key indicators of the index evaluation system,while keeping it consistent with the previous system to the largest extent.
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