Digital Libraries

Digital Libraries

The field of Digital Libraries (DLs) generally involves the study of digital collections of information and corresponding network-based services used to retrieve data from the collections. DLs are in effect information systems that are used to persistently store digital objects, manage the digital objects and, facilitate access to the digital objects.

Our focus in the field of DLs, as a research group, mostly involves experimenting with techniques that can potentially facilitate efficient and effective access to digital objects stored in DLs.

Project Members

Postgraduate Student
MSc Computer Science
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Postgraduate Student
MA Library and Information Science
Postgraduate Student
MA Library and Information Science
Postgraduate Student
MA Library and Information Science
Postgraduate Student
MA Library and Information Science
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education

Digital Libraries Publications

2021
Chipangila, Bertha, Eric Liswaniso, Andrew Mawila, Philomena Mwanza, Daisy Nawila, Robert Msendo, Mayumbo Nyirenda, and Lighton Phiri. 2021. “Improved Discoverability Of Digital Objects In Institutional Repositories Using Controlled Vocabularies”. In 2021 Acm/Ieee Joint Conference On Digital Libraries (Jcdl 2021). Champaign, IL, USA: IEEE. doi:https://doi.org/10.1109/JCDL52503.2021.00022.
More Info.
Chaibela, Mutune, Ivy Chisha, David Pungwa, Danny Siabbaba, and Bydon Simukoko. 2021. “Performance Predictor: A Data Mining And Machine Learning Software For Student Performance Outcomes”. Lusaka, Zambia: The University of Zambia. http://lis.unza.zm/archive/handle/123456789/90.
More Info.
2020
Phiri, Lighton. 2020. “Automatic Classification Of Digital Objects For Improved Metadata Quality Of Electronic Theses And Dissertations In Institutional Repositories”. International Journal Of Metadata, Semantics And Ontologies 14: 234-248. doi:10.1504/IJMSO.2020.112804.
More Info.
2019
Phiri, Lighton. 2019. “A Multi-Faceted Multi-Stakeholder Approach For Increased Visibility Of Etds In Zambia”. Cadernos Bad 2019 (1). http://hdl.handle.net/20.500.11959/brapci/134563.
More Info.
2018
Phiri, Lighton. 2018. “Research Visibility In The Global South : Towards Increased Online Visibility Of Scholarly Research Output In Zambia”. In 2Nd Ieee International Conference In Information And Communication Technologies. Lusaka, Zambia. http://dspace.unza.zm/handle/123456789/5723.
More Info.