Big Data and Their Impact on Libraries

Rafael Ball

doi:doi:10.11648/j.ajist.20190301.11

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Big Data and Their Impact on Libraries

Rafael Ball

Published in American Journal of Information Science and Technology (Volume 3, Issue 1)

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

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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.

Published in	American Journal of Information Science and Technology (Volume 3, Issue 1)
DOI	10.11648/j.ajist.20190301.11
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), 2019. Published by Science Publishing Group

Keywords

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

References

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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

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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

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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

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@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}
}

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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  -

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Author Information

Rafael Ball

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

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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  -

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