Challenges in ensuring metadata quality in institutional academic repositories: a qualitative study in Turkish research universities

Purpose This study aims to identify the challenges in ensuring data quality in the process of identifying metadata of resources in the institutional academic repositories (IARs) of research universities in Türkiye. Design/methodology/approach In this study, data were collected through semistructured interviews using a qualitative methodology. A total of 18 authorized personnel responsible for IAR systems at research universities in Türkiye were interviewed via telephone and online methods, as well as in person. The interviews covered technical, administrative and organizational aspects of information source identification and control processes, as well as demographic data of the interviewees. Based on the responses, 2 main themes, 16 subthemes and 39 codes were developed. Audio and video recordings from the interviews were analyzed, and frequency tables were created to present the findings by themes, subthemes and codes. Findings This study explores the challenges in identifying information resources within IARs at Turkish research universities, focusing on metadata quality from the user experience perspective. The findings reveal that the primary issue in ensuring metadata quality is the need for training. Other key challenges include software issues, lack of audit and control mechanisms, negative user attitudes, insufficient staff, limited knowledge and awareness of data management processes, absence of national-level standards and inadequate formal workflow procedures and metadata policies. These factors collectively hinder effective metadata management in research universities’ IAR systems. Originality/value The results of this study have theoretical and practical implications for similar studies addressing the problems of metadata identification in IARs. The study provides insight into the current state of IARs by addressing metadata identification issues regarding the completeness, consistency and accuracy of resources in IARs in the system. Therefore, it focuses on metadata identification problems in Türkiye, encourages in-depth research on the topic and provides some suggestions for future research.

Authors

Institutions

Publication Details

Journal
The Electronic Library
Published
2025-03-20
DOI
https://doi.org/10.1108/el-10-2024-0322
Citations
2
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
4.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenges in ensuring metadata quality in institutional academic repositories: a qualitative study in Turkish research universities

Şahika Eroğlu, Feride Aydın Çolak
2 citations
The Electronic Library
Semantic Web and Ontologies
4.96
article

Challenges in ensuring metadata quality in institutional academic repositories: a qualitative study in Turkish research universities

Şahika Eroğlu, Feride Aydın Çolak
article en
2 citations

Abstract

Purpose This study aims to identify the challenges in ensuring data quality in the process of identifying metadata of resources in the institutional academic repositories (IARs) of research universities in Türkiye. Design/methodology/approach In this study, data were collected through semistructured interviews using a qualitative methodology. A total of 18 authorized personnel responsible for IAR systems at research universities in Türkiye were interviewed via telephone and online methods, as well as in person. The interviews covered technical, administrative and organizational aspects of information source identification and control processes, as well as demographic data of the interviewees. Based on the responses, 2 main themes, 16 subthemes and 39 codes were developed. Audio and video recordings from the interviews were analyzed, and frequency tables were created to present the findings by themes, subthemes and codes. Findings This study explores the challenges in identifying information resources within IARs at Turkish research universities, focusing on metadata quality from the user experience perspective. The findings reveal that the primary issue in ensuring metadata quality is the need for training. Other key challenges include software issues, lack of audit and control mechanisms, negative user attitudes, insufficient staff, limited knowledge and awareness of data management processes, absence of national-level standards and inadequate formal workflow procedures and metadata policies. These factors collectively hinder effective metadata management in research universities’ IAR systems. Originality/value The results of this study have theoretical and practical implications for similar studies addressing the problems of metadata identification in IARs. The study provides insight into the current state of IARs by addressing metadata identification issues regarding the completeness, consistency and accuracy of resources in IARs in the system. Therefore, it focuses on metadata identification problems in Türkiye, encourages in-depth research on the topic and provides some suggestions for future research.

The Electronic LibraryVol. 43(3)
Central University Library (RO), Hacettepe University (TR)
Openalex Percentile: Top 6%
Semantic Web and Ontologies
4.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.