How to Cite a Web Ranking and Make it FAIR

Citing data is crucial for acknowledging and recognizing the contributions of experts, scientists, and institutions in creating and maintaining high-quality datasets. It ensures proper attribution and supports reproducibility in scientific research. While data citation methods have focused on structured or semi-structured datasets, there is a need to address the citation of web rankings. Web rankings are significant in scientific literature, information articles, and decision-making processes. However, citing web rankings presents challenges due to their dynamic nature. In response, we introduce a new "ranking citation" model and the Unipd Ranking Citation tool, designed to generate persistent and machine-readable citations, enhancing reproducibility and accountability in scientific research and general contexts. It is a user-friendly, open-source Chrome extension that employs ontology and RDF graphs for machine understanding and future reconstruction of rankings.