Big data adoption in academic libraries: a literature review
| Date | 13 February 2020 |
| DOI | https://doi.org/10.1108/LHTN-11-2019-0079 |
| Pages | 1-5 |
| Published date | 13 February 2020 |
| Author | Nove E. Variant Anna,Endang Fitriyah Mannan |
| Subject Matter | Library & information science,Librarianship/library management,Library technology,Library & information services |
Big data adoption in academic
libraries: a literature review
Nove E. Variant Anna and Endang Fitriyah Mannan
Introduction
Bibliometric studies provide a map of
knowledge that is useful for researchers to
see which research themes have been
widely studied or not, making it easier for
researchers to determine the direction of
research conducted. Bibliometric studies
have been carried out in various fields of
research and until now using special
software to analyse the bibliographic data.
Many scientists and practitioners have
reviewed the possibility of implementing
big data in libraries. Before discussing big
data in the library, there were many
bibliometrics researches with the topic of
the library, among others Barik and Jena
(2019) who analysed publications from ten
open access journals in library science.
The purpose of this research is to find out
since big data in library articles were
written, which countries frequently write
about big data and keywords related to big
data in the library.
Big Data, according to Ed Dumbill
(2013) in Ali (2015), is data that
exceeds the capacity of conventional
database system processing. The data is
big, moves fast or does not fit the
structure of a database architecture. To
get value from this data, alternative way
must be chosen to process it. While
another definition is mentioned by Heer
and Kandel (in Lemieux, 2014):
At what volume the data becomes big
remains an open question, however, with
some suggesting that it comprises data at
the scale of exabytes, while others argue
for zettabytes or yottabytes.
St. Nath (2015) in Ali (2015) also
defines big data as follows:
Big data is an evolving term that describes
any voluminous amount of structured,
semi-structured and unstructured data that
has the potential to be mined for
information.
Big Data has characteristics as follow:
3V; volume, variety, velocity and other V
elements such as veracity and value.
Volume (data capacity) is related to the
size of data storage media, which is very
large or may be unlimited to petabytes or
zettabytes; variety (diversity of data) is
related to the type of data that can be
processed, starting from structured data to
unstructured data; while velocity (speed) is
relatedtothespeedofdataprocessing
generated from various sources, ranging
from batch data to real time, while the
characteristics of veracity (truth) and value
are related to the uncertainty of the data
and the value of the benefits of the
information generated (Sirait, 2016).
Big data is a phenomenon caused by
the swift flow of information. The issue
of big data in libraries has begun to be
widely discussed. While its application
in the public or government sector,
seems to be still limited. According to
Ali (2015) big data requires libraries to
improve, among other things, library
organizations and internal data
improvements that cover both
electronic and printed collections. One
VOLUME 37 NUMBER 4 2020
MAY
AN EMERALD PUBLICATION
LIBRARY HI TECH NEWS NUMBER 4 2020
CONTENTS
Feature article
Big data adoption in academic
libraries: a literature review .....1
Colum
Getting acquainted with social
networks and apps: it is time
to talk about TikTok ..........7
Professional literature
A new full-text finder tool for linking
to scientific articles . .........13
Colum
Incorporating online privacy skills into
one-shot sessions. . . .........15
Through the looking glass
Books online: e-books, e-paper,
and e-readers ..............19
Library Link
www.emeraldinsight.com/librarylink
LIBRARY HITECH NEWS Number 4 2020, pp. 1-5, V
CEmerald Publishing Limited, 0741-9058, DOI 10.1108/LHTN-11-2019-0079 1
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