Measuring completeness as metadata quality metric in Europeana

Authors

  • Péter Király Göttingen eResearch Alliance, Gesellschaft für wissenschaftliche Datenverarbeitung mbH, Göttingen http://orcid.org/0000-0002-8749-4597
  • Marco Büchler Institute of Computer Science, Georg-August-Universität, Göttingen

DOI:

https://doi.org/10.31400/dh-hun.2019.2.388

Keywords:

big data applications, data analysis, data collection, quality of service, quality management, metadata, data integration, cultural heritage

Abstract

Europeana, the European digital platform for cultural heritage, has a heterogeneous collection of metadata records ingested from more than 3200 data providers. The original nature and context of these records were different. In order to create effective services upon them we should know the strength and weakness or in other words the quality of these data. This paper proposes a method and an open source implementation to measure some structural features of these data, such as completeness, multilinguality, uniqueness, record patterns, to reveal quality issues.

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Published

2019-12-30

How to Cite

Király, Péter, and Marco Büchler. 2019. “Measuring Completeness As Metadata Quality Metric in Europeana”. Digitális Bölcsészet / Digital Humanities, no. 2 (December):T:57-T:76. https://doi.org/10.31400/dh-hun.2019.2.388.

Issue

No. 2 (2019): Digitális Bölcsészet / Digital Humanities

Section

Papers

License

Copyright (c) 2019 the author

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.