The adoption of Additive Manufacturing (AM) in cultural heritage conservation represents a profound transformation in the way digital data are produced, interpreted, and converted into physical artefacts. Alongside physical fabrication, there is increasing attention to the quality of the digital model, its traceability, its role within HBIM workflows, and the need to integrate documentary standards such as Dublin Core, the London Charter, and the Seville Principles. This contribution analyses the data lifecycle in the context of additive fabrication for the study and preservation of cultural heritage, highlighting technical, semantic, and methodological aspects, with particular attention to metric validation, interoperability, versioning, and semantic enrichment of models, all of which are essential to ensure scientific reliability and reproducibility of operations.
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