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.

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

Chiara Martignano
;
Giorgia Rubin;Alessia Bardi;Marina Buzzoni;Marilena Daquino;Riccardo Del Gratta;Angelo Mario Del Grosso;Franz Fischer;Roberto Rosselli Del Turco;Francesca Tomasi
2025-01-01

Abstract

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.
2025
Diversity, Equity, and Inclusion: Challenges and Opportunities for Digital Humanities in the Age of Artificial Intelligence
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/5109671
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