Big Data and Their Impact on Libraries

Rafael Ball

doi:doi:10.11648/j.ajist.20190301.11

| Peer-Reviewed |

Big Data and Their Impact on Libraries

Rafael Ball

Received: 29 November 2018 Accepted: 14 January 2019 Published: 22 February 2019

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Academic libraries have a large amount of primary and secondary data with academic content. These contents can be linked and supplemented with freely available data on the Internet and generate benefit for their customers. This includes, for example, the date for indexing of library holdings as well as customer data and their media usage for the development of new helpful services. Thus, methods and knowledge of Big Data applications are required. With the help of Big Data technologies, these added values can be created. However, this presupposes that the limitations and possibilities of Big Data technology are being taken into account and that correlations are accepted as sufficiently accurate. Especially classical librarians have to cut back on their accuracy requirements. This paper gives an overview of the possibilities and chances of using large data amounts in libraries, presents hypotheses and explains practical examples.

DOI	10.11648/j.ajist.20190301.11
Published in	American Journal of Information Science and Technology (Volume 3, Issue 1, March 2019)
Page(s)	1-9
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Big Data in Libraries, Classification, New Library Services, Data Management

References

[1]	J. Bailey (September 2015), "Top 4 ways to apply big data in higher education," in Information Age, (http://www.information-age.com/top-4-ways-apply-big-data-higher-education-123460114/ accessed on 06.11.2018).
[2]	"Big Data," in Wikipedia. Die freie Enzyklopädie. (available online: https://de.wikipedia.org/wiki/Big_Data site visited on 07.11.2018).
[3]	W. Christl (November 2014), "Kommerzielle digitale Überwachung im Alltag. Erfassung, Verknüpfung und Verwertung persönlicher Daten im Zeitalter von Big Data: Internationale Trends, Risiken und Herausforderungen anhand ausgewählter Problemfelder und Beispiele," in Studie im Auftrag der Bundesarbeitskammer. Wien (available online: http://crackedlabs.org/dl/Studie_Digitale_Ueberwachung.pdf site visited on 07.11.2018).
[4]	Education, Communications and Outreach Group Cern (2017). “LHC: the guide” CERN-Brochure-2017-002-Eng (available online: http://cds.cern.ch/record/2255762/files/CERN-Brochure-2017-002-Eng.pdf site visited on 06.11.2018).
[5]	K. Metzler, D. A. Kim, N. Allum and A. Denman (2016), "Who Is Doing Computational Social Science? Trends in Big Data Research (White Paper)," London (available online: https://us.sagepub.com/sites/default/files/compsocsci.pdf site visited on 06.11.2018). p. 8 ff.
[6]	A. Regalado (May 2013), "The Data Made Me Do It. The next frontier for big data is the individual," in MIT Technology Review, (available online: https://www.technologyreview.com/s/514346/the-data-made-me-do-it/ site visited on 06.11.2018).
[7]	W. Bredemeier (February 2017), "Open Password (Interview mit R. Mumenthaler)," in Password, (available online: http://www.password-online.de/?wysija-page=1&controller=email&action=view&email_id=219 site visited on 06.11.2018).
[8]	M. Humbel (March 2017), "Die Umsetzung von Open Data an Wissenschaftlichen Bibliotheken der Schweiz. Eine qualitative Untersuchung," in Churer Schriften zur Informationswissenschaft, Schrift 86, (available online: https://www.htwchur.ch/fileadmin/htw_chur/angewandte_zukunftstechnologien/SII/churer_schriften/CSI86-Umsetzung_Open_Data_an_wissenschaftlichen_Bibliotheken_der_Schweiz.pdf site visited on 03.10.2018).
[9]	M. Humbel (March 2017), "Die Umsetzung von Open Data an Wissenschaftlichen Bibliotheken der Schweiz. Eine qualitative Untersuchung (Interview mit M. Ehrismann, M. Hotea and R. D. Wanger)," in Churer Schriften zur Informationswissenschaft, Schrift 86, (available online: https://www.htwchur.ch/fileadmin/htw_chur/angewandte_zukunftstechnologien/SII/churer_schriften/CSI86-Umsetzung_Open_Data_an_wissenschaftlichen_Bibliotheken_der_Schweiz.pdf site visited on 03.10.2018), 74ff. and 135.
[10]	T. Aaron (November 2016), "5 reasons why library analytics is on the rise (Blogbeitrag)," in Musings about librarianship, (online available: https://musingsaboutlibrarianship.blogspot.com/2016/11/5-reasons-why-library-analytics-is-on.html site visited on 06.11.2018).
[11]	A. McGill (August 2016), "Can Twitter Fit Inside the Library of Congress?" in The Atlantic, (available online: https://www.theatlantic.com/technology/archive/2016/08/can-twitter-fit-inside-the-library-of-congress/494339/ site visited on 06.11.2018).
[12]	A. Foster (April 2013), "Add value or die. The fate of corporate information services. The Business Information Survey 2013" in BIR, (available online: http://journals.sagepub.com/doi/full/10.1177/0266382113484222 site visited on 06.11.2018).
[13]	Alia (2016), “Website of the National 2016 Conference, 29 August-2 September 2016 Adelaide: Engage Create Lead” (available online: https://library.alia.org.au/big-data-small-library-0 site visited on 25.10.2018)
[14]	V. Johnson (2016), "Big Data, Small Library," Deakin (available online: https://library.alia.org.au/file/424/download?token=rx_SWTGZ site visited on 06.11.2018).
[15]	V. Johnson (2016), "Big Data, Small Library," Deakin (available online: https://library.alia.org.au/big-data-small-library-0 accessed on 06.11.2018)
[16]	University of Michigan Library (2018), "Open Access Bibliographic Records Available for Download and Use" (available online: https://www.lib.umich.edu/open-access-bibliographic-records site visited on 06.11.2018).
[17]	Harvard Library (2012), "Harvard Library Open Metadata", (available online: https://emeritus.library.harvard.edu/open-metadata#Harvard-Library-Bibliographic-Dataset site visited on: 06.11.2018).
[18]	D. Black (April 2012), "I’m Tired of Hearing about Big Data" in The Black Liszt, (available online: http://www.blackliszt.com/2012/04/im-tired-of-hearing-about-big-data.html site visited on: 06.11.2018).
[19]	Q. Hardy (April 2012), "Harvard Releases Big Data for Books" in The New York Times (available online: https://bits.blogs.nytimes.com/2012/04/24/harvard-releases-big-data-for-books/?_r=0https://www.ethz.ch/de.html site visited on 06.11.2018).
[20]	Jisc (2018), "Jisc Website", (available online: https://www.jisc.ac.uk/ site visited on 06.11.2018).
[21]	Higher Education Statistics Agency (2018): "HESA Website" (available online: https://www.hesa.ac.uk/services/heidi-plus site visited on 06.11.2018).
[22]	S. Burke (October 2016), "Library + Data + Labs = what exactly?" in Jisc, (available online: https://libraryservices.jiscinvolve.org/wp/2016/10/library-data-labs-project/ site visited on 06.11.2018).
[23]	Tableau Software (2018): "Tableau Website", (available online: https://www.tableau.com/ site visited on 06.11.2018).
[24]	C. O’Maley Voliva (April 2015), "Data Visualization for Public Libraries," in Public Libraries Online, (available online: http://publiclibrariesonline.org/2015/04/data-visualization-for-public-libraries/ site visited on 06.11.2018).
[25]	Tableau (2018), "Brooklyn Public Library saves time, money and headcount with Tableau", (available online: https://www.tableau.com/solutions/customer/brooklyn-public-library-saves-time-money-and-headcount-tableau site visited on 06.11.2018).
[26]	M. Futterman, D. P. Milam (March 2016), "Core Customer Intelligence: Public Library Reach, Relevance and Resilience," in CivicTechnologies, (available online: http://civictechnologies.com/core-customer-intelligence site visited on 06.11.2018).

Cite This Article

Plain Text BibTeX RIS

APA Style

Rafael Ball. (2019). Big Data and Their Impact on Libraries. American Journal of Information Science and Technology, 3(1), 1-9. https://doi.org/10.11648/j.ajist.20190301.11

Copy | Download

ACS Style

Rafael Ball. Big Data and Their Impact on Libraries. Am. J. Inf. Sci. Technol. 2019, 3(1), 1-9. doi: 10.11648/j.ajist.20190301.11

Copy | Download

AMA Style

Rafael Ball. Big Data and Their Impact on Libraries. Am J Inf Sci Technol. 2019;3(1):1-9. doi: 10.11648/j.ajist.20190301.11

Copy | Download

@article{10.11648/j.ajist.20190301.11,
  author = {Rafael Ball},
  title = {Big Data and Their Impact on Libraries},
  journal = {American Journal of Information Science and Technology},
  volume = {3},
  number = {1},
  pages = {1-9},
  doi = {10.11648/j.ajist.20190301.11},
  url = {https://doi.org/10.11648/j.ajist.20190301.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20190301.11},
  abstract = {Academic libraries have a large amount of primary and secondary data with academic content. These contents can be linked and supplemented with freely available data on the Internet and generate benefit for their customers. This includes, for example, the date for indexing of library holdings as well as customer data and their media usage for the development of new helpful services. Thus, methods and knowledge of Big Data applications are required. With the help of Big Data technologies, these added values can be created. However, this presupposes that the limitations and possibilities of Big Data technology are being taken into account and that correlations are accepted as sufficiently accurate. Especially classical librarians have to cut back on their accuracy requirements. This paper gives an overview of the possibilities and chances of using large data amounts in libraries, presents hypotheses and explains practical examples.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Big Data and Their Impact on Libraries
AU  - Rafael Ball
Y1  - 2019/02/22
PY  - 2019
N1  - https://doi.org/10.11648/j.ajist.20190301.11
DO  - 10.11648/j.ajist.20190301.11
T2  - American Journal of Information Science and Technology
JF  - American Journal of Information Science and Technology
JO  - American Journal of Information Science and Technology
SP  - 1
EP  - 9
PB  - Science Publishing Group
SN  - 2640-0588
UR  - https://doi.org/10.11648/j.ajist.20190301.11
AB  - Academic libraries have a large amount of primary and secondary data with academic content. These contents can be linked and supplemented with freely available data on the Internet and generate benefit for their customers. This includes, for example, the date for indexing of library holdings as well as customer data and their media usage for the development of new helpful services. Thus, methods and knowledge of Big Data applications are required. With the help of Big Data technologies, these added values can be created. However, this presupposes that the limitations and possibilities of Big Data technology are being taken into account and that correlations are accepted as sufficiently accurate. Especially classical librarians have to cut back on their accuracy requirements. This paper gives an overview of the possibilities and chances of using large data amounts in libraries, presents hypotheses and explains practical examples.
VL  - 3
IS  - 1
ER  -

Copy | Download

Author Information

Rafael Ball

ETH Library, ETH Zurich - Federal Institute of Technology Zurich, Zurich, Switzerland

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Rafael Ball. (2019). Big Data and Their Impact on Libraries. American Journal of Information Science and Technology, 3(1), 1-9. https://doi.org/10.11648/j.ajist.20190301.11

Copy | Download

ACS Style

Rafael Ball. Big Data and Their Impact on Libraries. Am. J. Inf. Sci. Technol. 2019, 3(1), 1-9. doi: 10.11648/j.ajist.20190301.11

Copy | Download

AMA Style

Rafael Ball. Big Data and Their Impact on Libraries. Am J Inf Sci Technol. 2019;3(1):1-9. doi: 10.11648/j.ajist.20190301.11

Copy | Download

@article{10.11648/j.ajist.20190301.11,
  author = {Rafael Ball},
  title = {Big Data and Their Impact on Libraries},
  journal = {American Journal of Information Science and Technology},
  volume = {3},
  number = {1},
  pages = {1-9},
  doi = {10.11648/j.ajist.20190301.11},
  url = {https://doi.org/10.11648/j.ajist.20190301.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20190301.11},
  abstract = {Academic libraries have a large amount of primary and secondary data with academic content. These contents can be linked and supplemented with freely available data on the Internet and generate benefit for their customers. This includes, for example, the date for indexing of library holdings as well as customer data and their media usage for the development of new helpful services. Thus, methods and knowledge of Big Data applications are required. With the help of Big Data technologies, these added values can be created. However, this presupposes that the limitations and possibilities of Big Data technology are being taken into account and that correlations are accepted as sufficiently accurate. Especially classical librarians have to cut back on their accuracy requirements. This paper gives an overview of the possibilities and chances of using large data amounts in libraries, presents hypotheses and explains practical examples.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Big Data and Their Impact on Libraries
AU  - Rafael Ball
Y1  - 2019/02/22
PY  - 2019
N1  - https://doi.org/10.11648/j.ajist.20190301.11
DO  - 10.11648/j.ajist.20190301.11
T2  - American Journal of Information Science and Technology
JF  - American Journal of Information Science and Technology
JO  - American Journal of Information Science and Technology
SP  - 1
EP  - 9
PB  - Science Publishing Group
SN  - 2640-0588
UR  - https://doi.org/10.11648/j.ajist.20190301.11
AB  - Academic libraries have a large amount of primary and secondary data with academic content. These contents can be linked and supplemented with freely available data on the Internet and generate benefit for their customers. This includes, for example, the date for indexing of library holdings as well as customer data and their media usage for the development of new helpful services. Thus, methods and knowledge of Big Data applications are required. With the help of Big Data technologies, these added values can be created. However, this presupposes that the limitations and possibilities of Big Data technology are being taken into account and that correlations are accepted as sufficiently accurate. Especially classical librarians have to cut back on their accuracy requirements. This paper gives an overview of the possibilities and chances of using large data amounts in libraries, presents hypotheses and explains practical examples.
VL  - 3
IS  - 1
ER  -

Copy | Download