ATLAS: a data model for describing FAIR Digital Humanities research outcomes

Martignano C., Rubin G., Giacomini S., Bardi A., Buzzoni M., Daquino M., Del Gratta R., Del Grosso A. M., Fischer F., Rosselli Del Turco R., Tomasi F.

Research infrastructure  Scholarly outcome  Linked open data  FAIR principles  Metadata modeling 

This paper addresses the challenges of cataloguing and representing Digital Humanities (DH) research outputs within the framework of FAIR principles. Despite advancements in Semantic Web technologies and data aggregators, the scholarly community still lacks unified frameworks and domain-specific models to describe heterogeneous outputs such as digital editions, textual collections, and other scholarly resources published as Linked Open Data. The ATLAS project proposes an ontology and a knowledge graph to bridge these gaps. The methodology includes metadata modeling based on existing frameworks and novel extensions, supported by pilot studies on the Italian cultural heritage. The project, currently in its initial version, aims to enhance metadata interoperability and data accessibility, contributing to the optimization of cataloguing practices and the development of guidelines for the discovery and reuse of DH resources while providing a model applicable beyond the Italian context.

Source: QUADERNI DI UMANISTICA DIGITALE, pp. 440-447. Verona, Italy, 11-13/06/2025

Publisher: AlmaDL, University of Bologna Digital Library

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