DATA QUALITY DIAGNOSIS MODELS IN THE DOMAIN OF CULTURAL HERITAGE: A LITERATURE REVIEW

ABSTRACT

In recent years, there has been a considerable trend among cultural heritage institutions to digitize and make their collection data available on the internet, providing greater accessibility and democratization of scientific and cultural knowledge to society. As a result, data has become an important and valuable resource for the 21st century, and considerations about the importance of data quality for publishing data sets on the internet have also emerged in various contexts over the last few decades. However, despite these efforts, investing solely in the digitalization of cultural objects is not enough, as data quality issues are often not raised, considering the various types of databases and information systems that exist. This research aims to identify and analyze studies on data quality evaluation in cultural heritage collections, based on a systematic review of national and international literature. Based on the literature review conducted, it became clear that there is little evidence of a tested data quality and metadata assurance process that proves its effectiveness in one or more digital repositories. Additionally, there is no evidence of any quality evaluation process that is effective and transferable to other contexts, i.e., other types of repositories. It should also be emphasized that there is a shortage of procedures that use a reference cataloging model in the field of Cultural Heritage to support a data quality evaluation in databases in this domain.

Keywords:
Metadata; Cultural collection; Systematic literature review; Data quality diagnosis model