Revolutionizing Scholarship: A Panel Discussion on Text and Data Mining

被引：2

作者：

Bernhardt, Beth ^{[1
]}

Herndon, Joel ^{[2
]}

Herron, Patrick ^{[2
]}

Smith, Kevin ^{[2
]}

Strong, Roger ^{[3
]}

Miller, Hillary ^{[4
]}

机构：

[1] Univ N Carolina, Greensboro, NC 27412 USA

[2] Duke Univ, Durham, NC USA

[3] Gale, Farmington Hills, MI USA

[4] Virginia Commonwealth Univ Lib, Richmond, VA 23284 USA

来源：

SERIALS REVIEW | 2015年 / 41卷 / 03期

关键词：

text and data mining; licensing; electronic resources;

D O I：

10.1080/00987913.2015.1064514

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

The panel discussion at the 24th North Carolina Serials Conference, moderated by Beth Bernhardt, offered four different perspectives on text and data mining from Patrick Herron, a faculty member who employs text and data mining in his research; Kevin Smith, an academic library scholarly communications officer; Joel Herndon, a data and visualization specialist; and Roger Strong, a vendor representative. Each discussed their perspective on how text and data mining is changing the way that electronic resources are used. A question-and-answer session followed the panel discussion.

引用

页码：184 / 186

页数：3

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