PERCEPTION OF LIBRARIANS IN AGRICULTURAL RESEARCH INSTITUTES TOWARDS THE USE OF BIG DATA FOR LIBRARY OPERATIONS AND SERVICES IN KWARA STATE, NIGERIA

Akinade Adebolawe Adewojo, Ayodeji Yusuf Ajani, Saheed Abiola Hamzat

Abstract


This study examined the perception of use associated with big data in agricultural research institutes' libraries. A descriptive design was employed, and thematic analysis was done on the information obtained through key informant interviews. The population of this study consists of two librarians from each of the agricultural research institutes' libraries. In the study, four research questions were addressed. The results showed librarians believe big data assists them in providing clear and straightforward information that will quickly aid the demands of the researchers in the institutes. The study also revealed how big data helps librarians better understand how they can meet the information demands of researchers. The difficulties associated with the use of big data in agricultural research libraries in Kwara State, Nigeria, stem from the presence of incompetent personnel, insufficient funds, irregular electricity supply, sluggish internet connectivity, and the expense of training and retraining on big data. In conclusion, the perception of the use of big data in agricultural research libraries allows librarians to streamline operations and services to exactly what the researcher wants. Based on the findings, the study recommends ensuring the effectiveness of big data, agricultural research libraries should recruit more data analyst experts to manage big data in their libraries and ensure alternative power generation such as solar systems, inverters or standby generating machines are made available.


Keywords


Big data; Big data analytics; Agricultural research libraries; Researchers; Big data benefit

Full Text:

PDF

References


Ahmad, K., JianMing, Z., & Rafi, M. (2019). An analysis of academic librarians competencies and skills for implementation of big data analytics in libraries: a correlational study. Data Technologies and Applications.

Al Shawabkeh, Y. (2018, March). Awareness of the concept of big data for academic librarians: A case study of the University of Jordan Library. In 24th annual conference and exhibition of the Special Library Association, Arabian Gulf Chapter, Muscat, Oman (pp. 6-8).

Al-Barashdi, H., & Al-Karousi, R. (2019). Big Data in academic libraries: literature review and future research directions. Journal of Information Studies & Technology (JIS&T), 2018(2), 13.

Ball, R. (2019). Big data and its impact on libraries. American Journal of Information Science and Technology, 3(1), 1-9.

Dunmade, A. O., & Hamzat, S. A. (2022). Relevance of Big Data Analytics in Nigerian Academic Libraries: University of Ilorin Library Experience. Mousaion: South African Journal of Information Studies, 40(1), 1-13.

Garoufallou, E., & Gaitanou, P. (2021). Big data: opportunities and challenges in libraries, a systematic literature review. College & Research Libraries, 82(3), 410.

Goyal, D., Goyal, R., Rekha, G., Malik, S., & Tyagi, A. K. (2020, February). Emerging Trends and Challenges in Data Science and Big Data Analytics. In 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), 1-8. IEEE.

Hamad, F., Fakhuri, H., & Abdel Jabbar, S. (2022). Big data opportunities and challenges for analytics strategies in Jordanian Academic Libraries. New Review of Academic Librarianship, 28(1), 37-60.

Hamad, F., Fakhuri, H., & Abdel Jabbar, S. (2022). Big data opportunities and challenges for analytics strategies in Jordanian Academic Libraries. New Review of Academic Librarianship, 28(1), 37-60.

Hamad, F., Hamarsha, A., & Al Khalaila, M. (2018, March). Big data and analytics strategies in academic libraries: Opportunities and challenges, the case of the University of Jordan Library. In the 24th annual conference and exhibition of the Special Library Association, Arabian Gulf Chapter, Muscat, Oman 6-8.

Ikegwu, A. C., Nweke, H. F., Anikwe, C. V., Alo, U. R., & Okonkwo, O. R. (2022). Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions. Cluster Computing, 1-45.

Jantti, M. (2016). Libraries and big data: A new view on impact and effect. In Quality and the Academic Library (pp. 267-273). Chandos Publishing.

Khan, N., Yaqoob, I., Hashem, I. A. T., Inayat, Z., Mahmoud Ali, W. K., Alam, M., ... & Gani, A. (2014). Big data: survey, technologies, opportunities, and challenges. The scientific world journal, 2014.

Li, J., Lu, M., Dou, G., & Wang, S. (2017). Big data application framework and its feasibility analysis in the library. Information Discovery and Delivery, 45(4), 161–168. doi:10.1108/IDD-03-2017-0024

Li, S., Jiao, F., Zhang, Y., & Xu, X. (2019). Problems and changes in digital libraries in the age of big data from the perspective of user services. The Journal of Academic Librarianship, 45(1), 22-30.

Li, S., Jiao, F., Zhang, Y., & Xu, X. (2019). Problems and changes in digital libraries in the age of big data from the perspective of user services. The Journal of Academic Librarianship, 45(1), 22-30.

Manaseer, S., Alawneh, A. R., & Asoudi, D. (2019). Big data investment and knowledge integration in academic libraries. Journal of Information Studies & Technology (JIS&T), 2019(1), 3.

Manaseer, S., Alawneh, A. R., & Asoudi, D. (2019). Big data investment and knowledge integration in academic libraries. Journal of Information Studies & Technology (JIS&T), 2019(1), 3.

MIT Experimental Learning. (2016). (chenas03.cadmus.comSmartEditWatchFolder XML_Signal_to_CCE_High_Speed_WFESAININPROCESS27). The big deal with big data isn’t (just) the data. MIT experimental learning in collaboration with GetSmarter. Retrieved from https://www.technologyreview.com/2016/08/11/158359/the-big-deal-withbig-data-isnt-just-the-data/.

Na, K., & Lee, J. (2018). Trends of South Korea's Informatization and Libraries' Role Based on Newspaper Big Data. The Journal of the Korea Contents Association, 18(9), 14-33.

Naeem, M., Jamal, T., Diaz-Martinez, J., Butt, S. A., Montesano, N., Tariq, M. I., ... & De-La-Hoz-Valdiris, E. (2022). Trends and future perspective challenges in big data. In Advances in intelligent data analysis and applications (pp. 309-325). Springer, Singapore.

Obasola, O. (2019). Big Data and the Emerging Role of Libraries. Department of Library, Archival and Information Studies, University of Ibadan, Nigeria

Owolabi, K. A., Adeleke, O. A., Tella, A., & Mudasiru, Y. A. (2021). A Structural Equation Modeling Approach to Evaluating Library Personnel Intention to Adopt Big Data Technology in Nigerian Academic Libraries. Internet Reference Services Quarterly, 25(4), 145-167.

ProQuest (2013) Data mining “Big Data”: A strategy for improving library discovery. Available at: http://www.proquest.com/blog/2013/241902501.html (accessed 15 November 2018).

Rawat, R., & Yadav, R. (2021). Big data: Big data analysis, issues and challenges and technologies. In IOP Conference Series: Materials Science and Engineering (Vol. 1022, No. 1, p. 012014). IOP Publishing.

Sharma, A. K. (2019). Knowledge management and a new generation of libraries information services: concepts. African Journal of Library and Information Science, ISSN, 001-007.

Tang, R., & Hu, Z. (2019). Providing research data management (RDM) services in libraries: preparedness, roles, challenges, and training for RDM practice. Data and Information Management, 3(2), 84-101.

Teets, M., & Goldner, M. (2013). Libraries’ role in curating and exposing big data. Future Internet, 5(3), 429-438.

Wang, G., Gunasekaran, A., Ngai, E.W., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics, 176 (4), 98–110. doi:10.1016/j. ijpe.2016.03.014

Wang, X. Y. (2015). Analysis of and reflection on the application of big data in university libraries. Journal of Academic Library and Information Science, 33(1), 55-60.

Xiao-yan, W. A. N. G. (2015). Analysis of and reflection on the application of big data in university libraries. Journal of Academic Library and Information Science, (1), 12.

Ylipulli, J., & Luusua, A. (2019, June). Without libraries what have we? Public libraries as nodes for technological empowerment in the era of smart cities, AI and big data. In Proceedings of the 9th International Conference on Communities & Technologies-Transforming Communities (pp. 92-101).

Yuhong, X. I. E. (2018). Utilization and reconstruction of digital resources in university libraries in the perspective of Big Data—Based on the statistics of digital resources utilization in the Changbei University alliance library. Modern Information Technology, 6, 61.

Zhang, H. (2016). Analysis of the present situation of big data research in university libraries in China. Library Work and Study, 7, 46-50.

Zhong, Y., Chen, L., Dan, C., & Rezaeipanah, A. (2022). A systematic survey of data mining and big data analysis in the internet of things. The Journal of Supercomputing, 1-49.




DOI: https://doi.org/10.17509/edulib.v14i1.60576

DOI (PDF): https://doi.org/10.17509/edulib.v14i1.60576.g27471

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Edulib

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.