Methodology For Qualitative Evaluation of Open Data
Synopsis
The increasing availability of open data and open data platforms emphasizes the need for reliable evaluation methods to ensure data quality. Effective assessment is critical as the promotion of open data reuse gains momentum, while the quality of this data, often published as a by-product of government processes, can be inconsistent. This paper explores how existing research addresses the challenge of open data assessment and highlights the lack of methodologies applicable to Slovenian open data portals. Existing frameworks are usually limited to assessing either metadata or specific datasets. To fill this gap, we propose a novel methodology based on a comprehensive review of current approaches. This framework is designed to assess multiple dimensions of open data quality and serves as a basis for the development of automated tools for assessing datasets and data portals.