Authenticity in digital archaeological reconstructions: A workflow pipeline and data classification system to inform and validate the digital reconstruction process

Virtual reality (VR) modelling is increasingly used to reconstruct lost structures in highly realistic detail. These technologies offer archaeologists the ability to objectively study reconstruction scenarios and alternative hypotheses without having to interact with extant remains. As the use of digital reconstructions increases, so does consensus that there are dangers inherent in creating highly realistic outputs that are based on limited information with an associated lack of transparency of process. This thesis presents a methodology and data classification system for the digital reconstruction process and premises that the certainty of data employed in digital reconstructions is core to reconstruction authenticity