Methodologies for Open Data Initiatives Assessment: A Comparative Review

Open data can lead to more efficient and effective decision-making processes in both the public and private sectors. By making data available, users can better analyse trends, identify inefficiencies, and optimize resource allocation. Consequently, open data assessment plays a crucial role in ensuring the quality, integrity, accessibility, and impact of open data initiatives. It supports informed decision-making, promotes data-driven innovation, and enhances trust and accountability in data ecosystems. This paper applies the method of systematic review for identifying, extracting and analysing the principal methodologies for open data assessment. The most mature proposals have been selected and compared by using a formal framework, extracting the key requirements that an integrated and unified open data assessment framework should have, and providing the first steps towards its definition. Four methodologies were identified from a systematic review of literature. The comparison results critically identify and synthesize the research in open data assessment area. The paper concludes with suggestions on how to improve assessment practice and recommendations for future research.

Keywords: Open Data; Assessment; Evaluation; Methodology; Framework