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Big Data, Data Analyst, and Competence Improvement of Librarian

Record and Library Journal

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Field Value
 
Title Big Data, Data Analyst, and Competence Improvement of Librarian
 
Creator Narendra, Albertus Pramukti
 
Subject
big data, data analyst, librarian

 
Description Issue of Big Data was already raised by Fremont Rider, an American Librarian from Westleyan University, in 1944. He predicted that the volume of American universities collection would reach 200 million copies in 2040. As a result, it brings to fore multiple issues such as big data users, storage capacity, and the need to have data analysts.  In Indonesia, data analysts is still a rare profession, and therefore urgently needed. One of its distinctive tasks  is to conduct visual analyses from various data resources and also to present the result visually as interesting knowledge. It becomes science enliven by interactive visualization. (Thomas and Cook, 2005). In response to the issue, librarians have already been equipped with basic information management. Yet, they can see the opportunity and improve themselves as data analysts. In developed countries, it is common that librarian are also regarded as data analysts. They enhance  themselves with various skills required, such as cloud computing and smart computing. In the end librarian with data analysts competency are eloquent to extract and present complex data resources as “interesting and discernible” knowledge. 
 
Publisher D3 Teknisi Perpustakaan Fakultas Vokasi Universitas Airlangga
 
Contributor
 
Date 2018-01-02
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

 
Format application/pdf
 
Identifier https://e-journal.unair.ac.id/RLJ/article/view/7086
10.20473/rlj.V1-I2.2015.83-93
 
Source Record and Library Journal; Vol 1, No 2 (2015); 83-93
2442-5168
 
Language eng
 
Relation https://e-journal.unair.ac.id/RLJ/article/view/7086/4255
 
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