Over the last decade, the importance of FAIR principles as a reference for data reusability and openness has increased constantly. Various tools for FAIR data assessment exist, including manual approaches like the FAIR Data Self-Assessment Tool (SAT) and automated tools as the FAIR Evaluation Services and Generic Automatic Tool (GAT). However, subjectivity in manual assessment and limited guidance in automated tools represent significant limitations. In such a context, the Italian “Piano Triennale per l’Informatica nella Pubblica Amministrazione” has laid the foundations for open data practices in the Italian Public Administration (PA) since 2017. In this work, we propose a tool called euFAIR for the automatic assessment of dataset FAIRness in the Italian PA. The tool incorporates European Data Quality Guidelines for a more comprehensive dataset evaluation and implements a set of specific ad-hoc designed metrics. With this tool, we aim at improving data quality and sharing, as well as the adherence to community standards in the Italian PA. To validate our results, we compared euFAIR with SAT and GAT, highlighting significant differences.
euFAIR: A Digital Tool for Assessing the FAIR Principles
Lia M.;Longo A.;Zappatore M.
2023-01-01
Abstract
Over the last decade, the importance of FAIR principles as a reference for data reusability and openness has increased constantly. Various tools for FAIR data assessment exist, including manual approaches like the FAIR Data Self-Assessment Tool (SAT) and automated tools as the FAIR Evaluation Services and Generic Automatic Tool (GAT). However, subjectivity in manual assessment and limited guidance in automated tools represent significant limitations. In such a context, the Italian “Piano Triennale per l’Informatica nella Pubblica Amministrazione” has laid the foundations for open data practices in the Italian Public Administration (PA) since 2017. In this work, we propose a tool called euFAIR for the automatic assessment of dataset FAIRness in the Italian PA. The tool incorporates European Data Quality Guidelines for a more comprehensive dataset evaluation and implements a set of specific ad-hoc designed metrics. With this tool, we aim at improving data quality and sharing, as well as the adherence to community standards in the Italian PA. To validate our results, we compared euFAIR with SAT and GAT, highlighting significant differences.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
