The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data

Onan Mulumba; Alison Annet Kinengyere; Winny Nekesa Akullo

doi:doi:10.11648/j.ajdmkd.20170204.14

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The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data

Onan Mulumba, Alison Annet Kinengyere, Winny Nekesa Akullo

Published in American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 4)

Received: 19 October 2017 Accepted: 3 November 2017 Published: 25 December 2017

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Abstract

Makerere University has, in the recent past, climbed up the academic and research ranks, globally, and this has been supported by excellent information services, covering all available information resource formats and targeting users in the university community with varying information needs and information seeking behaviour. The metadata of such useful information resources is Machine-Readable. The major objective of this paper was to explore the level of data sharing at Makerere university library, focusing on audiovisual and multimedia collection. A semi-structured questionnaire (online and print) was administered to Library staff at Makerere University. The data were qualitatively and quantitatively analysed using simple percentages and recorded in tables and graphs. Of the 22 target respondents, a response rate of 81.8% (18) was realized. The results of the paper revealed that the majority of the librarians were not aware of the functionality of the LOD concept and the semantic web. Majority (88.9%) of the librarians were involved in data processing and entry for the general library collection, 18.8% of them are involved in data processing and entry for audiovisual and multimedia collection. It was further revealed that the data at Makerere university library is not linked to open data cloud and therefore not discoverable through the semantic web. The most prominent benefit of LOD cited by librarians was the opportunity to eliminate or reduce recreating existing descriptors already elaborated by other experts. The major challenges to linking data to open data cloud at Makerere university library were lack of skilled staff and lack of awareness about the concept of LOD.

Published in	American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 4)
DOI	10.11648/j.ajdmkd.20170204.14
Page(s)	114-120
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), 2017. Published by Science Publishing Group

Keywords

Linked Open Data, Audiovisual, Multimedia, Open Science

References

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[2]	C. Okello-Obura and E. Magara, “Electronic Information Access and Utilization by Makerere University Students in Uganda Constant,” Evidence Based Library and Information Practice, vol. 3, no. 3, pp. 39–56, 2008.
[3]	J. Cuzzola, Z. Jeremic, E. Bagheri, D. Gasevic, J. Jovanovic, and R. Bashash, “Semantic tagging with linked open data,” CEUR Workshop Proceedings, vol. 1054, pp. 52–53, 2013.
[4]	B. Haslhofer and A. Isaac, “data.europeana.eu: The Europeana Linked Open Data Pilot,” International Conference on Dublin Core and Metadata Applications, no. iii, pp. 94–104, 2011.
[5]	M. Hausenblas and M. Karnstedt, “Understanding linked open data as a web-scale database,” 2nd International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010, pp. 56–61, 2010.
[6]	R. Cyganiak and A. Jentzsch, “The Linking Open Data cloud diagram,” 2009. [Online]. Available: http://lod-cloud.net/. [Accessed: 14-May-2016].
[7]	M. Willer and G. Dunsire, “2 - Semantic web and linked open data,” Bibliographic Information Organization in the Semantic Web, pp. 85–136, 2013.
[8]	“Merriam-Webster,” Dictionary. [Online]. Available: www.merriam-webster.com/dictionary. [Accessed: 17-May-2016].
[9]	J. A. G. M. van Dijk and A. J. A. M. van Deursen, Digital Skills: unlocking the information society. New York, USA: Palgrave macmillan, 2014.
[10]	S. Greene, “Chasing Technology: The Challenge of Preserving Audiovisual Records,” Prologue, vol. 39, no. 2, 2007.
[11]	K. B. Wright, “Researching Internet‐based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services,” Journal of Computer-Mediated Communication, vol. 10, no. 3, p. 0, 2005.
[12]	G. Herdt, Third Sex, Third Gender: Beyond Sexual Dimorphism in Culture and History. Zone Books, 1994.

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APA Style

Onan Mulumba, Alison Annet Kinengyere, Winny Nekesa Akullo. (2017). The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data. American Journal of Data Mining and Knowledge Discovery, 2(4), 114-120. https://doi.org/10.11648/j.ajdmkd.20170204.14

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ACS Style

Onan Mulumba; Alison Annet Kinengyere; Winny Nekesa Akullo. The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data. Am. J. Data Min. Knowl. Discov. 2017, 2(4), 114-120. doi: 10.11648/j.ajdmkd.20170204.14

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AMA Style

Onan Mulumba, Alison Annet Kinengyere, Winny Nekesa Akullo. The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data. Am J Data Min Knowl Discov. 2017;2(4):114-120. doi: 10.11648/j.ajdmkd.20170204.14

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@article{10.11648/j.ajdmkd.20170204.14,
  author = {Onan Mulumba and Alison Annet Kinengyere and Winny Nekesa Akullo},
  title = {The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data},
  journal = {American Journal of Data Mining and Knowledge Discovery},
  volume = {2},
  number = {4},
  pages = {114-120},
  doi = {10.11648/j.ajdmkd.20170204.14},
  url = {https://doi.org/10.11648/j.ajdmkd.20170204.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20170204.14},
  abstract = {Makerere University has, in the recent past, climbed up the academic and research ranks, globally, and this has been supported by excellent information services, covering all available information resource formats and targeting users in the university community with varying information needs and information seeking behaviour. The metadata of such useful information resources is Machine-Readable. The major objective of this paper was to explore the level of data sharing at Makerere university library, focusing on audiovisual and multimedia collection. A semi-structured questionnaire (online and print) was administered to Library staff at Makerere University. The data were qualitatively and quantitatively analysed using simple percentages and recorded in tables and graphs. Of the 22 target respondents, a response rate of 81.8% (18) was realized. The results of the paper revealed that the majority of the librarians were not aware of the functionality of the LOD concept and the semantic web. Majority (88.9%) of the librarians were involved in data processing and entry for the general library collection, 18.8% of them are involved in data processing and entry for audiovisual and multimedia collection. It was further revealed that the data at Makerere university library is not linked to open data cloud and therefore not discoverable through the semantic web. The most prominent benefit of LOD cited by librarians was the opportunity to eliminate or reduce recreating existing descriptors already elaborated by other experts. The major challenges to linking data to open data cloud at Makerere university library were lack of skilled staff and lack of awareness about the concept of LOD.},
 year = {2017}
}

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TY  - JOUR
T1  - The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data
AU  - Onan Mulumba
AU  - Alison Annet Kinengyere
AU  - Winny Nekesa Akullo
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DO  - 10.11648/j.ajdmkd.20170204.14
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
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EP  - 120
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20170204.14
AB  - Makerere University has, in the recent past, climbed up the academic and research ranks, globally, and this has been supported by excellent information services, covering all available information resource formats and targeting users in the university community with varying information needs and information seeking behaviour. The metadata of such useful information resources is Machine-Readable. The major objective of this paper was to explore the level of data sharing at Makerere university library, focusing on audiovisual and multimedia collection. A semi-structured questionnaire (online and print) was administered to Library staff at Makerere University. The data were qualitatively and quantitatively analysed using simple percentages and recorded in tables and graphs. Of the 22 target respondents, a response rate of 81.8% (18) was realized. The results of the paper revealed that the majority of the librarians were not aware of the functionality of the LOD concept and the semantic web. Majority (88.9%) of the librarians were involved in data processing and entry for the general library collection, 18.8% of them are involved in data processing and entry for audiovisual and multimedia collection. It was further revealed that the data at Makerere university library is not linked to open data cloud and therefore not discoverable through the semantic web. The most prominent benefit of LOD cited by librarians was the opportunity to eliminate or reduce recreating existing descriptors already elaborated by other experts. The major challenges to linking data to open data cloud at Makerere university library were lack of skilled staff and lack of awareness about the concept of LOD.
VL  - 2
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Author Information

Onan Mulumba

College of Agricultural and Environmental Sciences Library, Makerere University, Kampala, Uganda
Alison Annet Kinengyere

Albert Cook Medical Library, Makerere University, Kampala, Uganda
Winny Nekesa Akullo

Public Procurement and Disposal of Public Assets Authority, Kampala, Uganda

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APA Style

Onan Mulumba, Alison Annet Kinengyere, Winny Nekesa Akullo. (2017). The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data. American Journal of Data Mining and Knowledge Discovery, 2(4), 114-120. https://doi.org/10.11648/j.ajdmkd.20170204.14

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ACS Style

Onan Mulumba; Alison Annet Kinengyere; Winny Nekesa Akullo. The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data. Am. J. Data Min. Knowl. Discov. 2017, 2(4), 114-120. doi: 10.11648/j.ajdmkd.20170204.14

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AMA Style

Onan Mulumba, Alison Annet Kinengyere, Winny Nekesa Akullo. The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data. Am J Data Min Knowl Discov. 2017;2(4):114-120. doi: 10.11648/j.ajdmkd.20170204.14

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@article{10.11648/j.ajdmkd.20170204.14,
  author = {Onan Mulumba and Alison Annet Kinengyere and Winny Nekesa Akullo},
  title = {The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data},
  journal = {American Journal of Data Mining and Knowledge Discovery},
  volume = {2},
  number = {4},
  pages = {114-120},
  doi = {10.11648/j.ajdmkd.20170204.14},
  url = {https://doi.org/10.11648/j.ajdmkd.20170204.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20170204.14},
  abstract = {Makerere University has, in the recent past, climbed up the academic and research ranks, globally, and this has been supported by excellent information services, covering all available information resource formats and targeting users in the university community with varying information needs and information seeking behaviour. The metadata of such useful information resources is Machine-Readable. The major objective of this paper was to explore the level of data sharing at Makerere university library, focusing on audiovisual and multimedia collection. A semi-structured questionnaire (online and print) was administered to Library staff at Makerere University. The data were qualitatively and quantitatively analysed using simple percentages and recorded in tables and graphs. Of the 22 target respondents, a response rate of 81.8% (18) was realized. The results of the paper revealed that the majority of the librarians were not aware of the functionality of the LOD concept and the semantic web. Majority (88.9%) of the librarians were involved in data processing and entry for the general library collection, 18.8% of them are involved in data processing and entry for audiovisual and multimedia collection. It was further revealed that the data at Makerere university library is not linked to open data cloud and therefore not discoverable through the semantic web. The most prominent benefit of LOD cited by librarians was the opportunity to eliminate or reduce recreating existing descriptors already elaborated by other experts. The major challenges to linking data to open data cloud at Makerere university library were lack of skilled staff and lack of awareness about the concept of LOD.},
 year = {2017}
}

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TY  - JOUR
T1  - The Horizon of Information Sharing at Makerere University: Multimedia, Audiovisual and the Linked Open Data
AU  - Onan Mulumba
AU  - Alison Annet Kinengyere
AU  - Winny Nekesa Akullo
Y1  - 2017/12/25
PY  - 2017
N1  - https://doi.org/10.11648/j.ajdmkd.20170204.14
DO  - 10.11648/j.ajdmkd.20170204.14
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
SP  - 114
EP  - 120
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20170204.14
AB  - Makerere University has, in the recent past, climbed up the academic and research ranks, globally, and this has been supported by excellent information services, covering all available information resource formats and targeting users in the university community with varying information needs and information seeking behaviour. The metadata of such useful information resources is Machine-Readable. The major objective of this paper was to explore the level of data sharing at Makerere university library, focusing on audiovisual and multimedia collection. A semi-structured questionnaire (online and print) was administered to Library staff at Makerere University. The data were qualitatively and quantitatively analysed using simple percentages and recorded in tables and graphs. Of the 22 target respondents, a response rate of 81.8% (18) was realized. The results of the paper revealed that the majority of the librarians were not aware of the functionality of the LOD concept and the semantic web. Majority (88.9%) of the librarians were involved in data processing and entry for the general library collection, 18.8% of them are involved in data processing and entry for audiovisual and multimedia collection. It was further revealed that the data at Makerere university library is not linked to open data cloud and therefore not discoverable through the semantic web. The most prominent benefit of LOD cited by librarians was the opportunity to eliminate or reduce recreating existing descriptors already elaborated by other experts. The major challenges to linking data to open data cloud at Makerere university library were lack of skilled staff and lack of awareness about the concept of LOD.
VL  - 2
IS  - 4
ER  -

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