Methodologies for Qualitative Assessment of Open Data

Abstract

The article provides an insight into the methodologies for the qualitative assessment of open data. Various approaches have been developed both for the assessment of metadata and for the data itself. The methods are often based on standards and generally accepted guidelines for ensuring data quality, whereby individual aspects of the (meta)data are treated as dimensions grouped into categories. However, these categories are not standardized across different methodologies, making it difficult to compare or integrate the results. Nevertheless, understanding different approaches contributes significantly to the development of more effective and interoperable solutions. When developing new tools for open government data in Slovenia, additional recommendations need to be considered. Laws and directives regulate the open data market in European Union countries at both national and EU level. We provide an overview of guidelines and standards, and highlight the challenges in creating a uniform methodology to improve the quality and accessibility of open data.