Quality Certification in Data Acquisition for Cultural Heritage: The Power of Paradata for High Quality Digital 3D Cultural Heritage Assets

<p>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.</p> <p><br>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<br>effective adoption of the Study’s recommendations</p>

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5194/isprs-archives-xlviii-m-9-623-2025
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
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article

Quality Certification in Data Acquisition for Cultural Heritage: The Power of Paradata for High Quality Digital 3D Cultural Heritage Assets

Athos Agapiou, Petros Siegkas, Drew Baker, Anthony Cassar
Zenodo (CERN European Organization for Nuclear Research)
3D Surveying and Cultural Heritage
article

Quality Certification in Data Acquisition for Cultural Heritage: The Power of Paradata for High Quality Digital 3D Cultural Heritage Assets

Athos Agapiou, Petros Siegkas, Drew Baker, Anthony Cassar
article en

Abstract

<p>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.</p> <p><br>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<br>effective adoption of the Study’s recommendations</p>

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 22%
3D Surveying and Cultural Heritage
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