Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/35046
Title: Quality Certification in Data Acquisition for Cultural Heritage: The Power of Paradata for High Quality Digital 3D Cultural Heritage Assets
Authors: Ioannides, Marinos 
Baker, Drew 
Agapiou, Athos 
Siegkas, Petros 
Cassar, Anthony 
Major Field of Science: Engineering and Technology
Field Category: Other Engineering and Technologies
Keywords: Digital Cultural Heritage;Digital Acquisition;EU VIGIE 2020/654;Complexity Analysis;Quality Analysis,;Paradata
Issue Date: 1-Oct-2025
Source: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2025, vol.
Volume: XLVIII-M-9-2025
Journal: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 
Abstract: Published in 2022, the European Commission’s study VIGIE 2020/654: Study on Quality in 3D Digitisation of Tangible Cultural Heritage provided a comprehensive overview of the state-of-the-art in Cultural Heritage (CH) digitisation, proposing detailed guidelines toward a standardised framework for evaluating digitisation projects. The Study introduced a key distinction between the Complexity of the data acquisition methodology and the Quality of the expected results. It argued that Quality can only be meaningfully assessed by understanding the preconditions - namely, the Complexity - surrounding data acquisition (DAQ). By managing risks, faithfully documenting paradata (i.e., the processes and methods used to create the digital record), and reducing DAQ complexity, confidence in the digitisation outcomes is increased and better reflected in the overall Quality of results. In the rapidly evolving landscape of digital technologies and their application to the CH domain, alongside the growing need to monitor monuments and sites affected by natural and human-induced hazards and interventions, this article reflects on three years of real-world implementation. It reviews the lessons learnt, identifies existing gaps, and explores emerging technologies to enhance and adapt the Study to the current and future needs of the sector. These insights are essential to ensure the continued relevance and effective adoption of the Study’s recommendations.
URI: https://hdl.handle.net/20.500.14279/35046
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-XLVIII-M-9-2025-623-2025
Rights: Attribution 4.0 International
Type: Article
Affiliation : Cyprus University of Technology 
Heritage Malta 
Digital Heritage Research Laboratory 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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