Assessing data quality of Linked Open Data in Cultural Heritage institutions
Dişli, Meltem & Candela, Gustavo
Cultural Heritage (CH) institutions have been exploring new ways to make their digital collections available. New initiatives have emerged to promote computational access and reuse in innovative ways in which high-quality data is essential. This session will present a reproducible approach to assessing data quality in Linked Open Data (LOD) repositories made available by CH institutions. The session includes an overview of the importance of assessing LOD quality, followed by a concise introduction to the data quality criteria, which are based on a literature review, the existing vocabularies used to describe data quality, and how Jupyter Notebook can be used to assess LOD repositories in a reproducible manner. The primary aim of this session is to facilitate best practices and guidelines in order to assess the data quality of LOD repositories, ensuring their broader adoption and reproducibility.