We are happy to announce that the paper by Maria Angela Pellegrino, Pasquale Esposito and Gabriele Tuozzo, entitled
👉 "FAIRness of the Linguistic Linked Open Data Cloud: an Empirical Investigation"
it was accepted in the Special Issue on Data Quality Dimensions in Data FAIRification Design and Processes of the Journal of Data and Information Quality (JDIQ).
The work presents a systematic review of 69 datasets (2014–2024), assessing their compliance with the FAIR principles through the KGHeartBeat framework. The study highlights the main current challenges – such as findability, accessibility, interlinking and licensing – and proposes a new mapping between FAIR principles and quality dimensions to improve the quality and reuse of Linguistic Linked Open Data datasets.
🔗 As soon as the article is published we will share the link: stay updated to read all the details of the research!
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