Communication Dans Un Congrès Année : 2026

A W7 structured metadata framework for reinforcing data provenances in 2D/3D digitization workflows

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Abstract. The documentation and provenance tracking of digitization workflows in Cultural Heritage (CH) face persistent challenges due to fragmented metadata practices and the absence of intuitive frameworks. This paper presents a W7-structured metadata framework, implemented through ANAMNESIS, an open-source platform designed to reinforce data provenance in 2D/3D digitization workflows. By systematically capturing the what, who, where, when, why, how, and which dimensions of digitization activities, the W7 model provides a structured, semantic approach to documenting critical technical and contextual details often lost in current practices. The platform operationalizes this framework with customizable schemas tailored to 2D/3D imaging workflows, ensuring traceability, reproducibility, and interoperability. Through real-case applications, the proposed approach not only preserves data provenance but also enables FAIR-by-design practices, empowering CH practitioners to contribute to a standardized, collaborative knowledge base.

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halshs-05512234 , version 1 (16-02-2026)

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Anthony Pamart, Quentin Vogel, Eloi Gattet, Daouda Ngom, Laurent Bergerot. A W7 structured metadata framework for reinforcing data provenances in 2D/3D digitization workflows. 11th International ISPRS / CIPA Workshop "3D Virtual Reconstruction and Visualization of Complex Architectures", Fabio Remondino; Roberto Pierdicca; Ramona Quattrini; Francesco Fassi, Feb 2026, Ancone, Italy. pp.351-358, ⟨10.5194/isprs-archives-XLVIII-2-W12-2026-351-2026⟩. ⟨halshs-05512234⟩
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