A FAIR Core Semantic Metadata Model for FAIR Multidimensional Tabular Datasets

Tabular format is a common in open data. However, the meaning of columns not always explicit which makes if difficult for non-domain experts to reuse While most efforts making data FAIR are limited semantic metadata describing overall features datasets, such description enough ensure interoperability and reusability. This paper proposes reduce this weakness thanks (FAIR) core model that able represent different kinds metadata, including schema internal structure dataset. can then be linked domain-specific definitions provide domain understanding consumers .