This study investigates the role of metadata quality in Electronic Theses and Dissertations (ETDs), focusing on its completeness and its impact on discoverability and user engagement within institutional repositories (IRs). . . . The study identified a moderate positive correlation between the numbers of unique metadata fields and both the Department Views Ratio (DVR) and Department Download Ratio (DDR), suggesting that enriched metadata can improve the visibility and accessibility of dissertations. Additionally, the length of abstracts is positively correlated with engagement metrics (significance level for all reported results < 0.001). In contrast, title length does not significantly influence the visibility.
https://doi.org/10.1007/s11192-025-05331-0
| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |
