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Title: Data-driven Discovery: A New Era of Exploiting the Literature and Data
Author: Ying Ding; Kyle Stirling
Source: Journal of Data and Information Science
Issued Date: 2016-11-03
Volume: 1, Issue:4, Pages:1-9
Subject: 新闻学与传播学 ; 图书馆、情报与文献学
Indexed Type: 其他
DOI: 10.20309/jdis.201622
Corresponding Author: Ying Ding (E-mail:dingying@indiana.edu)
DOC Type: Perspectives
Abstract:
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.
English Abstract:
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.
Related URLs: 查看原文
Language: 英语
Citation statistics:
Content Type: 期刊论文
URI: http://ir.las.ac.cn/handle/12502/8904
Appears in Collections:Journal of Data and Information Science_Journal of Data and Information Science-2016 _期刊论文

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description.institution: Department of Information and Library Science, Indiana University, Bloomington, IN 47405, USA

Recommended Citation:
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.
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