期刊文献+

大数据视阈下的学术期刊发展路径

Development Path of Academic Journals on the Perspective of Big Data
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摘要 当今社会大数据开启了由信息技术变革所带来的时代转型。它不仅影响着经济、政治、科学、文化等众多领域,而且对促进学术研究和学术期刊的发展具有重要启示。适应大数据时代的转型需要,学术期刊应着重从三方面致力于改革传统办刊思路谋求新发展:在办刊路径上强调大数据思维;在评价路径上注重提高转引率、转载率等各项数据评价的综合指标;在传播路径上探索刊内融合、刊刊融合、刊网融合等多元化的现代新媒体融合发展之路。 Nowdays, big data opens the transformation for the time brought about by the information technology revolution. It not only affects the economy, politics, science, culture, and many other domains, but has the impor- tant enlightenment for promoting the development of academic research and academic journals. To meet the needs of the transformation of the era of big data, we committed to reform the traditional academic journals from three as- pects : the emphasis on the thought of big data to seek new path in the development of the journal ; the emphasis on improving comprehensive indexes of quoted rate, transferring rate and so on, so as to evaluate the journal; exploring such path for intergrating modem media as integration of internal journal, integration of different journals, inte- gration of journal and intemet.
作者 孙昕光
出处 《山东青年政治学院学报》 2017年第6期35-39,共5页 Journal of Shandong Youth University of Political Science
关键词 大数据 学术期刊 发展路径 big data academic journals development path
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