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A Business Intelligence Approach to Monitoring and Trend Analysis of National R&D Indicators

机译:国家研发指标监测与趋势分析的商业智能方法

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摘要

The economic growth and competitiveness of countries is strongly influenced by their national research and development (R&D) systems. Hence, national R&D managers must make appropriate decisions to develop their R&D systems. For this purpose, an integrated view on the dimensions of national R&D systems is much needed. Due to the distribution of relevant data sources for national, R&D indicators and the complexity of national R&D systems, establishing an integrated view is challenging. In this article, we propose a business intelligence architecture to monitor, analyze, and forecast national, R&D indicators. Data for these indicators are integrated from heterogeneous data sources. In a case study focusing on Iranian R&D indicators, a prototype system is designed and implemented to evaluate its effectiveness in practice. After monitoring the indicators using online analytical processing, trends for the indicators across 11 years are forecasted using time series analysis models. The prototype system provides an integrated view of the Iranian R&D system, so that national R&D managers can use the developed system for monitoring and trend analysis of Iranian R&D indicators. As a result of the analysis of these trends, implications and recommendations for the future of the Iranian R&D system are presented.
机译:国家的经济增长和竞争力受其国家研究和开发(研发)系统的影响。因此,国家研发管理人员必须做出适当的决定,以制定其研发系统。为此目的,需要对国家研发系统的尺寸进行综合视图。由于国家,研发指标和国家研发系统的复杂性的相关数据来源的分布,建立综合观点是具有挑战性的。在本文中,我们提出了一种商业智能架构,用于监控,分析和预测国家,研发指标。这些指标的数据从异构数据源集成。在专注于伊朗研发指标的案例研究中,设计并实施了原型系统,以评估其实践中的有效性。在使用在线分析处理中监视指标后,使用时间序列分析模型预测指标趋势。原型系统提供伊朗研发系统的综合视图,使国家研发管理人员可以使用开发系统进行伊朗研发指标的监测和趋势分析。由于对这些趋势的分析,提出了对伊朗研发系统的未来的影响和建议。

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