The Zambia National Electronic Theses and Dissertations Pre-Processing Pipeline Portal

Higher Education Institutions (HEIs) in Zambia contribute significantly to scholarly research through the production of theses and dissertation manuscripts. These scholarly works are archived in Institutional Repositories (IRs) and aggregated in the Zambia National Electronic Theses and Dissertations (ETD) portal. However, inconsistencies in metadata formatting and missing metadata fields hinder the seamless accessibility of these valuable resources. This thesis presents a novel approach to addressing these challenges by developing a pre-processing pipeline software tool that harnesses existing machine learning models. The tool aims to ensure the consistent formatting of metadata and enhance missing metadata, thereby improving the overall usability and accessibility of the ETD portal.