About Cataloguing, Addressing Challenge: Cataloguing from Textual Sign Post in Winnebago Spectrum5 to Koha ILS MARC21 A Case Study

Authors

  • Mohd Ariff Shah Muhammad Dzazuli Faculty of Information Management, Universiti Teknologi MARA Selangor Branch, Malaysia
  • Haslinda Husaini Faculty of Information Management, Universiti Teknologi MARA Selangor Branch, Malaysia
  • Mazwani Ayu Mazlan Faculty of Information Management, Universiti Teknologi MARA Selangor Branch, Malaysia

DOI:

https://doi.org/10.24191/jikm.v12i1.5900

Keywords:

Cataloguing, KOHA ILS, Winnebago Sperctrum5, MARC21, Bibliographic

Abstract

The challenges faced by the library in migrating the bibliographic record from the textual signpost definition to proper cataloguing MARC21 format using the open-source library management system, KOHA, are discussed in this case study. The experiences also emphasize the significance of exposing in educating non-library science library staff to enhanced library science information, particularly from a textual signpost catalogue in Winnebago Spectrum to a MARC21 bibliographic format in Koha Integrated Library System It is a member of the German Malaysian Institute (GMI) Library's experienced staff who has no expertise or background in library science. This case study presents the experience on imparting knowledge to the non-library science background staff who used to perform copy cataloging from textual sign post catalogue due to issues faced by the old software itself, to MARC21 bibliographic format containing numerical tags and fields.

References

Ahmad, K., JianMing, Z., & Rafi, M. (2018). An analysis of academic librarians competencies and skills for implementation of big data analytics in libraries: a correlation study. Implementation of Big Data Analytics in Libraries, 1-16.

Butts-Wilmsmeyer, C. J., Rapp, S., & Guthrie, B. (2020). The technological advancements that enabled the age of big data in the environmental sciences: a history and future directions. Environmental Science & Health, 63-69.

Dubey, R., & Gunasekaran, A. (2015). Education and training for successful career in big data business analytics. Industrial and Commercial Training, 174-181.

Ekambaram, A., Sorensen, A. O., Bull-Berg, H., & Olsson, N. O. (2018). The role of big data and knowledge management in improving projects and project-based organizations. CENTERIS-International Conference on Enterprise Information System/ ProjMANInternational Conference on Project Management/ HCist-International Conference on Health and Social Care Information Systems and Technologies 2018 (pp. 851-858). Trondheim, Norway. Elsevier Ltd. doi: 10.1016/j.procs.2018.10.111

Foote, K. D. (2017, December 14). A brief history of Big Data. Retrieved from Dataversity: https://www.dataversity.net/brief-history-big-data/#

Fuster, M. (2016, November 7). How does big data impact education? Retrieved from OECD Insights Debate The Issues: https://oecdinsights.org/2016/11/07/how-does-big-dataimpact-education/

G., G. (n.d). Types of decision making. Retrieved from Economics Discussion: https://www.economicsdiscussion.net/management/types-of-decision-making/32202

Green, F. (2011). What is skill? An inter-disciplinary synthesis. Centre for Learning and Life Chances in Knowledge Economies and Societies, 1-29.

Harris, R. J. (2018). The evaluation of constraints within information technology departments concerning the statistical and analytical problems of Big Data. 1-100.

Harvey, C. (2017, June 5). Big Data challenges. Retrieved from Datamation: https://www.datamation.com/big-data/big-data-challenges.html

Holmlund, M., Vaerenbergh, Y. V., Ciuchita, R., Ravald, A., Sarantopoulos, P., Ordenes, F.V., & Zaki, M. (2020). Customer experience management in the age of big data analytics: a strategic framework. Journal of Business Research, 356-365. doi:10.1016/j.jbusres.2020.01.022

Janssen, M., Voort, H. V., & Wahyudi, A. (2016). Factors influencing big data decision-making quality. Journal of Business Research, 1-8. doi:10.1016/j.jbusres.2016.08.007

Jondoe. (2019, August 5). 7 Big Data examples: applications of Big Data in real life. Retrieved from Intelli Paat: https://intellipaat.com/

Juan-Pedro, Cabrera-Sanchez, Villarejo-Ramos, & F., A. (2019). Acceptance and use of Big Data techniques in services companies. Journal of Retailing and Consumer Services, 1-8.

Kadadi, A. (2015). Challenges of data integration in Big Data. 1-128.

Karina, K. (2015). Big Data and its opportunities for the engineering companies. Kuopio: Savonia University of Applied Science.

Koman, G., & Kundrikova, J. (2016). Application of Big Data technology in knowledge transfer process between business and academia. 3rd Global Conference on Business, Economics, Management and Tourism (pp. 605-611). Rome, Italy: Elsevier B.V.

Kumar, A. (2018, June 8). 7 top Big Data analytics challenges faced by business enterprises. Retrieved from E-Learning Industry: https://eleraningindustry.com/big-data-analyticschallenges-faced-business-enterprises-7-top

Matthews, K. (2019, April 8). Six ways data is changing business as we know it. Retrieved from Innovation Enterprise Channels: https://channels.theinnovationenterprise.com/articles/6-ways-data-is-changing-business-as-we-know-it

Mauro, A. D., Greco, M., Grimaldi, M., & Ritala, P. (2018). Human resources for big data professions: a systematic classification of job roles and required skills sets. Information Processing and Management, 807-817. doi: 10.1016/j.ipm.2017.05.004

Noutoua, J. S. (2018). Data security in the age of big data in the financial industry. Proquest LLC, 1-122.

O’Dea, S. (2020, December 10). Smartphone users worldwide 2016-2021. Retrieved from Statista: https:// www.statista.com/statistics/330695/number-of-smartphone-usersworldwide/

Philip, J. (2018). An application of the dynamic knowledge creation model in big data. Technology in Society, 120-127.

Popovic, A., Hackney, R., Tassabehji, R., & Castelli, M. (2016). The impact of big data analytics on firms high value business performance. Information Systems Frontiers,1-27.

Razaee, Z., & Wang, J. (2019). Relevance of big data to forensic accounting practice and education. Managerial Auditing Journal, 268-288. doi:10.1108/MAJ-08-2017-1633

Romero, V. (2018, May 10). 4 ways libraries can improve with AI and Big Data. Retrieved from TechSoup Canada: https://www.techsoupcanada.ca/fr.community/blog/4-wayslibraries-can-improve-with-ai-big-data

Shah, N., Irani, Z., & Sharif, A. M. (2017). Big Data in HR context: exploring organizational change readiness, employee attitudes and behaviors. Journal of Business Research, 366-378. doi:10.1016/j.jbusres.2016.08.010

Stewart, M. J. (1989). Target populations of nursing research on social support. International Journal of Nurses Studies, 115-129.

Tabesh, P., Mousavidin, E., & Hasani, S. (2019). Implementing big data strategies: a managerial perspective. Business Horizons, 347-358. doi:10.1016/j.jbushor.2019.02.001

Tahir, A. (2016, May 11). How big data analytics changes the way we work, market and play. Retrieved from The Marketing Scope: https://www.themarketingscope.com.how-bigdata-analytics-changes-way-we-work-market-play/

Tang, J., Ma, T., & Luo, Q. (2020). Trends prediction of big data: a case study based on fusion data. 2019 International Conference on Identification, Information and Knowledge in the Internet of Things (IIIKI2019) (pp. 181-190). Jinan, China: Elsevier B.V.

Tankard, C. (2015). Big data: the future of cyber-security or its latest threat? Computer Fraud and Security, 14-17.

Tiffen, J., Corbridge, S. J., & Slimmer, L. (2014). Enhancing clinical decision making: development of a contagious definition and conceptual framework. Journal of Professional Nursing, 399-405. doi: 10.1016/j.profnurs.2014.01.006

Torre, M. L., Botes, V. L., Dumay, J., Rea, M. A.m & Odendaal, E. (2018). The fall and rise of intellectual capital accounting: new prospects from the big data revolution. Meditari Accountancy Research, 381-399. doi:10.1108/MEDAR-05-2018-0344

Wang, Y., Kung, L., & Byrd, T. A. (2018) Big data analytics: understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting & Social Change, 3-13. doi:10.1016/j.techfore.2015.12.019

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Published

02-04-2022

How to Cite

Muhammad Dzazuli, M. A. S., Husaini, H., & Mazlan, M. A. (2022). About Cataloguing, Addressing Challenge: Cataloguing from Textual Sign Post in Winnebago Spectrum5 to Koha ILS MARC21 A Case Study. Journal of Information and Knowledge Management, 12(1), 63–87. https://doi.org/10.24191/jikm.v12i1.5900

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