The following is a list of past, current and ongoing projects conducted in the DataLab research group:
Enterprise Medical Imaging in Zambia
The Republic of Zambia, like many countries world-over, is faced with a critical shortage of trained radiologists, medical experts specialised in the interpretation of medical images for radiological diagnosis of health conditions. It was reported that as of 2019, Zambia had only five (5) trained radiologists against a population of 17 million (Bwanga et al., 2019). This project seeks to investigate the challenges resulting from the shortage of radiologists and to investigate the feasibility of implementation of efficient and effective medical imaging workflows using enterprise imaging techniques, in order to demonstrate the potential of enterprise imaging in addressing the grand challenges associated with medical imaging in Zambia.
Project Members
Project Publications
Mahlaza, Zola, Ernest Obbie Zulu, and Lighton Phiri. 2023. “Radiology Report Terminology To Characterise Reports In Southern Africa”. In 17Th International Conference On Metadata And Semantics Research. Milan, Italy: Springer Nature. |
More Info. |
Chileshe, Elijah, and Lighton Phiri. 2023. “Large-Scale Analysis Of Medical Image Metadata”. In 2023 Pan African Conference On Science, Computing And Telecommunications (Pact 2023). Lusaka, Zambia: Zambia ICT Journal. https://ictjournal.icict.org.zm/index.php/icict/article/view/277. |
More Info. |
Shawa, Andrew, and Lighton Phiri. 2023. “Software Tools For Supporting Automatic Interpretation Of Medical Images”. In 2023 Pan African Conference On Science, Computing And Telecommunications (Pact 2023). Lusaka, Zambia: Zambia ICT Journal. https://ictjournal.icict.org.zm/index.php/icict/article/view/278. |
More Info. |
Monde, Austin, Patrick Mwila, Chabu Namwila, Peter Tembo, and Lighton Phiri. 2023. “Evaluating Free And Open Source Radiology Information System For Automating Workflows At The University Teaching Hospitals - Zambia”. Lusaka, Zambia: University of Zambia. |
More Info. |
Zulu, Ernest Obbie, and Lighton Phiri. 2022. “Enterprise Medical Imaging In The Global South: Challenges And Opportunities”. In 2022 Ist-Africa Conference. IEEE. |
More Info. |
Zambia National Electronic Theses and Dissertations Portal
The Zambia National Electronic Theses and Dissertations (ZANETD) portal is meant to be a national ETD portal that will aggregate ETDs from all the the Higher Education Institutions (HEIs) in Zambia.
Project Members
Project Publications
Chisale, Adrian, and Lighton Phiri. 2023. “Towards Metadata Completeness In National Etd Portals For Improved Discoverability”. In 26Th International Symposium On Electronic Theses And Dissertations. Gujarat, Indian: INFLIBNET Centre. http://ir.inflibnet.ac.in/handle/1944/2446. |
More Info. |
Kasonde, Cecilia, and Lighton Phiri. 2023. “Assessing And Promoting Metadata Quality For Electronic Theses And Dissertations In Institutional Repositories Using A Policy-Driven Approach”. In 26Th International Symposium On Electronic Theses And Dissertations. Gujarat, Indian: INFLIBNET Centre. http://ir.inflibnet.ac.in/handle/1944/2412. |
More Info. |
Kasonde, Cecilia, Adrian Chisale, and Lighton Phiri. 2022. “Empirical Evaluation Of Etd-Ms Compliance In Institutional Repositories”. In 25Th International Symposium On Electronic Theses And Dissertations. Novi Sad, Serbia: Networked Digital Library of Theses and Dissertations. doi:10.5281/zenodo.7084847. |
More Info. |
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. |
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. |