[Q&A Session] Institutional Repository Digital Object Bitstreams as Single Sources of Truth
Channel: Lighton Phiri
Date: 2020-06-10

Question and answer session for the talk given by Lighton Phiri, from University of Zambia. The actual talk is available here [1]

Lighton Phiri gave a talk titled "Institutional Repository Digital Object Bitstreams as Single Sources of Truth" on Tuesday, June 9, 2020, at 17H00 GMT+2. 

This talk is part of a series of seminars organised as part of the "CSC 5741: Data Mining and Warehousing" [1] postgraduate course in the Department of Computer Science [2] at The University of Zambia [3]

## Abstract

The University of Zambia uses an Institutional Repository (IR) in order to curate and facilitate access to research output produced by faculty staff and postgraduate students. While the IR is designed with self-archiving functionalities, implementation of self-archiving is still a challenge. This has resulted in the delayed ingestion of digital objects into the IR and, additionally, compromised digital object metadata.

This talk will provide a brief overview of interventions that have been initiated to help address the challenges with implementation of self-archiving. The main focus of the talk will be on recent attempts to automatically classify digital objects using traditional supervised machine learning techniques.


## Biography

Lighton Phiri is a Lecturer and Researcher in the Department of Library and Information Science at the University of Zambia [3], where he is a member of the DataLab research group [4]. His broad research interests lie within the areas of Data Mining, Digital Libraries and Technology-Enhanced Learning. He is currently a member of the Networked Digital Library of Theses and Dissertations (NDLTD) "Enhancement of the Union Catalog" Working Group [5] and also sits on the Association of Computing Machinery SIGIR/SIGKDD AFIRM steering committee [6]. 

## About CSC 5741 Seminar Series

The CSC 5741 colloquium is part of a series of seminars for the CSC 5741 course [1] in the Department of Computer Science at The University of Zambia.

[1] https://youtu.be/x_Nn13jpP_Y
[2] http://lis.unza.zm/~lightonphiri/teaching/unza/2020/csc5741 
[3] http://www.cs.unza.zm 
[4] http://datalab.unza.zm
[5] http://www.ndltd.org/a/ndltd.org/ndltd/directory/committees-and-working-groups/enhancement-of-the-union-catalog
[6] http://sigir.org/afirm2020