Adopting MOD-API in a Modern Dataset Catalog Platform: Opportunities, Challenges and Limitations

As data exploitation continues to demonstrate its value, ontologies, thesauri, and other semantic datasets are increasingly recognized for enabling semantically meaningful data integration across disparate domains. With the proliferation of dataset catalogs, the MOD ontology (Metadata for Ontology Description and publication) was adopted, and an associated API was developed to support the future European Open Science Cloud (EOSC). Their aim is to harmonize catalogs of semantic datasets with respect to metadata vocabularies and access mechanisms, thereby ensuring compliance with the FAIR principles. Within an implementation action involving developers of prominent dataset catalogs, we were selected to integrate the MOD-API into ShowVoc, our platform for publishing and consuming ontologies, thesauri, lexicons, and other Semantic Web datasets. However, ShowVoc already relied on an expressive metadata model, the MDR (acronym for "Metadata Registry"), named after the component responsible for managing the platform's internal catalog. Due to precise dissemination requirements, the MDR provides multiple abstraction levels and detailed specifications concerning the distributions and formats in which a dataset may be made available. In this article, we report on the challenges that we faced and the trade-offs that we made while reconciling these metadata models, highlighting limitations in the current MOD standard that may inform future enhancements.