Talks | ETD 2022 | Empirical Evaluation of ETD-ms Compliance for ETDs in the NDLTD Union Catalog
Channel: Lighton Phiri
Date: 2022-09-12

Lighton Phiri gave a talk titled "Empirical Evaluation of ETD-ms Compliance for ETDs Harvested by the NDLTD Union Catalog" during the 25th International Symposium on Electronic Theses and Dissertations (ETD 2022) [1], held between September 7-9, 2022. 

This talk is based on a peer-reviewed article published in the 25th International Symposium on Electronic Theses and Dissertations (ETD 2022) [1]. The presentation slides [2] are publicly available.

## Video Timeline
00:00:00 Personal Introduction
00:00:25 About The DataLab Research Group
00:01:10 Presentation Outline
00:01:37 Introduction
00:04:59 Problem Statement
00:07:10 Research Objectives
00:07:49 Methodology
00:10:18 Results and Discussion
00:20:48 Conclusion and Future Work

## Title
Empirical Evaluation of ETD-ms Compliance for ETDs Harvested by the NDLTD Union Catalog

## Abstract
There are presently a number of academic institutions that have set up Institutional Repositories (IRs) aimed, in part, to archive, manage and facilitate access to Electronic Theses and Dissertations (ETDs). Increasingly, descriptive metadata associated with the ETDs produced by most of these institutions are now automatically harvested by National ETD portals and entities such as The Networked Digital Library of Theses and Dissertation (NDLTD) Union Catalog. However, there are growing concerns regarding the quality of ETD descriptive metadata originating from most of these institutions, in particular, adherence to the ETD-ms metadata standard, the de-facto standard used to describe ETDs. This paper presents an empirical analysis of ETD-ms compliance of the metadata associated with the 7,563,684 ETDs in the NDLTD Union Catalog. ETD metadata records were harvested from the NDLTD Catalog using the OAI-PMH protocol and, subsequently, an analysis was conducted to determine compliance to the ETD-ms metadata standard. In addition, to provide a contextual overview of the potential root causes of non-compliance to ETD-ms, a case study was conducted at The University of Zambia (UNZA), in order to understand current practices and procedures employed during ingestion and association of metadata. The results indicate that compliance with the ETD-ms standard is low, with most metadata elements associated with missing values. The case study conducted at UNZA suggests that policy and awareness are crucial in facilitating compliance to metadata standards such as ETD-ms.The study could potentially provide direction on issues to be addressed during the ingestion of ETDs into IRs.

## 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]. 

## Bibliography
[1] https://etd2022.uns.ac.rs
[2] https://www.slideshare.net/lightonphiri/empirical-evaluation-of-etdms-compliance-for-etds-harvested-by-the-ndltd-union-catalog
[3] https://www.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

#ETD
#NDLTDUnionCatalog
#Metadata