Data-driven Discovery: A New Era of Exploiting the Literature and Data
Ying Ding; Kyle Stirling
刊名journal of data and information science
2016-11-03
卷号1期号:4页码:1-9
通讯作者ying ding (e-mail:dingying@indiana.edu)
中文摘要
in the current data-intensive era, the traditional hands-on method of conducting scientific research by exploring related publications to generate a testable hypothesis is well on its way of becoming obsolete within just a year or two. analyzing the literature and data to automatically generate a hypothesis might become the de facto approach to inform the core research efforts of those trying to master the exponentially rapid expansion of publications and datasets. here, viewpoints are provided and discussed to help the understanding of challenges of data-driven discovery.
英文摘要
in the current data-intensive era, the traditional hands-on method of conducting scientific research by exploring related publications to generate a testable hypothesis is well on its way of becoming obsolete within just a year or two. analyzing the literature and data to automatically generate a hypothesis might become the de facto approach to inform the core research efforts of those trying to master the exponentially rapid expansion of publications and datasets. here, viewpoints are provided and discussed to help the understanding of challenges of data-driven discovery.
学科主题新闻学与传播学 ; 图书馆、情报与文献学
收录类别其他
原文出处http://www.jdis.org
语种英语
内容类型期刊论文
源URL[http://ir.las.ac.cn/handle/12502/8904]  
专题文献情报中心_Journal of Data and Information Science_Journal of Data and Information Science-2016
作者单位Department of Information and Library Science, Indiana University, Bloomington, IN 47405, USA
推荐引用方式
GB/T 7714
Ying Ding,Kyle Stirling. Data-driven Discovery: A New Era of Exploiting the Literature and Data[J]. journal of data and information science,2016,1(4):1-9.
APA Ying Ding,&Kyle Stirling.(2016).Data-driven Discovery: A New Era of Exploiting the Literature and Data.journal of data and information science,1(4),1-9.
MLA Ying Ding,et al."Data-driven Discovery: A New Era of Exploiting the Literature and Data".journal of data and information science 1.4(2016):1-9.
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