Collaborative Efforts with External Organizations done by ICIPE and ILRI Libraries to Enhance Big Data Management

Purpose: The rapid advancement of network technologies has resulted in an overwhelming influx of data, presenting significant challenges for research libraries in effectively managing this data to meet modern research needs. the current study aims to bridge the existing gap by assessing the collaborative initiatives put in place by ICIPE and ILRI research libraries to enhance big data management capabilities. The research objective was to evaluate how these partnerships contribute to the development and implementation of advanced data management systems. Methodology: The study was guided by Technology Acceptance Model (TAM) which played a significant role in facilitating collaboration in libraries by providing a framework to understand user acceptance of new technologies. The study was conducted at the ICIPE and ILRI institutions, employing a descriptive research design. The target population included key stakeholders such as department heads, librarians, and graduate students. A sample size of 154 individuals was selected, including 13 department heads, 4 librarians, and 137 graduate students (58 PhD candidates and 79 MSc candidates). Sampling techniques included purposive sampling for department heads and stratified random sampling for scholars. Data was collected using structured questionnaires, and the validity and reliability of the instruments were ensured through pilot testing. Data analysis involved both quantitative and qualitative methods, using statistical tools to analyze responses. Results: The study found that collaborative efforts between the libraries are pivotal in pooling resources, knowledge, and expertise, facilitating the integration of cutting-edge technologies like data mining tools, and cloud-based storage solutions. Conclusions: The collaborative approach adopted by the libraries not only strengthens their capacity to support research activities but also fosters a culture of data-driven decision-making across the institutions. This partnership serves as a model for other research institutions facing similar challenges. The leadership of ICIPE and ILRI continue to invest in infrastructure and joint training programs to further enhance big data management capabilities. Additionally, efforts should be made to address challenges such as the integration of diverse data sources and the protection of sensitive information. The study recommended development of more structured and formalized collaborative frameworks with external organizations, including clear policies and communication channels.

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Publication Details

Journal
Journal of Information and Technology
Published
2024-09-09
DOI
https://doi.org/10.70619/vol4iss3pp8-17
Primary Topic
Research Data Management Practices
Type
article
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article

Collaborative Efforts with External Organizations done by ICIPE and ILRI Libraries to Enhance Big Data Management

CATHERINE M. NZIOKA, Paul Maku Gichohi, Evangeline Koli Shinali
Journal of Information and Technology
Research Data Management Practices
article

Collaborative Efforts with External Organizations done by ICIPE and ILRI Libraries to Enhance Big Data Management

CATHERINE M. NZIOKA, Paul Maku Gichohi, Evangeline Koli Shinali
article en

Abstract

Purpose: The rapid advancement of network technologies has resulted in an overwhelming influx of data, presenting significant challenges for research libraries in effectively managing this data to meet modern research needs. the current study aims to bridge the existing gap by assessing the collaborative initiatives put in place by ICIPE and ILRI research libraries to enhance big data management capabilities. The research objective was to evaluate how these partnerships contribute to the development and implementation of advanced data management systems. Methodology: The study was guided by Technology Acceptance Model (TAM) which played a significant role in facilitating collaboration in libraries by providing a framework to understand user acceptance of new technologies. The study was conducted at the ICIPE and ILRI institutions, employing a descriptive research design. The target population included key stakeholders such as department heads, librarians, and graduate students. A sample size of 154 individuals was selected, including 13 department heads, 4 librarians, and 137 graduate students (58 PhD candidates and 79 MSc candidates). Sampling techniques included purposive sampling for department heads and stratified random sampling for scholars. Data was collected using structured questionnaires, and the validity and reliability of the instruments were ensured through pilot testing. Data analysis involved both quantitative and qualitative methods, using statistical tools to analyze responses. Results: The study found that collaborative efforts between the libraries are pivotal in pooling resources, knowledge, and expertise, facilitating the integration of cutting-edge technologies like data mining tools, and cloud-based storage solutions. Conclusions: The collaborative approach adopted by the libraries not only strengthens their capacity to support research activities but also fosters a culture of data-driven decision-making across the institutions. This partnership serves as a model for other research institutions facing similar challenges. The leadership of ICIPE and ILRI continue to invest in infrastructure and joint training programs to further enhance big data management capabilities. Additionally, efforts should be made to address challenges such as the integration of diverse data sources and the protection of sensitive information. The study recommended development of more structured and formalized collaborative frameworks with external organizations, including clear policies and communication channels.

Journal of Information and TechnologyVol. 4(3)
Kenya Methodist University (KE)
Openalex Percentile: Top 51%
Research Data Management Practices
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