| Is Part of |
CEUR workshop proceedings: IVUS 2026: proceedings of the 31st international conference on information society and university studies (IVUS 2026), Kaunas, Lithuania, May 12, 2026 / edited by Audrius Lopata,Tomas Krilavičius, Ilona Veitaitė.. Aachen : CEUR-WS. 2026, vol. 4317, p. 1-7.. ISSN 1613-0073 |
| Abstract [eng] |
To comply with Directive (EU) 2019/1024 on the re-use o f p ublic s ector d ata, E U m ember s tates a re b uilding national-level solutions—one of which is the national data lake. These systems are meant to generate value in both public and private sectors. In practice, though, their usefulness depends not just on whether data exist, but on whether the metadata describing those data is accurate and well managed. This paper examines metadata quality governance in Lithuania's state open data infrastructure, drawing on a metadata quality audit, a DCATAP compliance appendix, and related implementation materials. Five dimensions guide the analysis: completeness, consistency, uniqueness, semantic standardization, and governance-process adequacy. The audit covered 51,042 unique dataset-level records, 241,299 rows in the broader category-linked dataset context, and roughly 2.5 million dataset column records. The findings point to problems with identifiers, descriptions, keywords, naming conventions, and the alignment between metadata and actual data content. These are not cataloging mistakes in isolation — they are signs of deeper governance shortcomings in stewardship, vocabulary control, validation, and publication-readiness workflows. The paper argues that progress is achievable through stronger DCAT-AP-aligned governance, persistent identifiers, controlled vocabularies, SKOS-based concept schemes, and recurring quality assurance cycles. The broader contribution is an empirically grounded publicsector case showing that metadata quality is best treated as an operational governance capability—one that directly shapes interoperability and reuse. |
