国外智库数据搜集策略及其在大数据环境下的挑战

Foreign Think Tank Data Collection Strategies and Its Challenges in Big Data Environment

数据搜集作为智库数据价值链的首要环节,在智库研究中承担着重要作用。文章选取《2015全球智库排名》中具有参考价值的十余家智库机构,通过网络调研和文献调研方法总结归纳了这些国外智库机构的数据搜集策略。研究发现智库现有的传统信息搜集策略和方法已无法适应大数据环境下体量大、更新快、形式多的数据特征。结合当前新型搜集技术的应用案例及数据价值链理论,研究认为实现数据采集自动化、制定数据采集规则并构建智库知识库将资源语义化是大数据环境下智库数据搜集阶段应尽快采取的措施。

Data collection is the primary link in the value chain of the think tank and it plays an important role in the research of the think tank. This paper first selects more than ten think tanks with reference value in the 2015 Global Go To Think Tank Index Report, then summarizes the data collection strategies of foreign think tank institutions through network research and literature research. It is found that the existing traditional information collection strategies and methods of the think tank cannot adapt to the data characteristics in the big data environment. This paper studies the current application of new acquisition technologies and the data value chain theory and comes to a conclusion that think tanks should take the following measures the data collection as soon as possible： the realization of data acquisition automation, the development of data collection rules and the construction of the think tank knowledge base to process resource semantic.