Virtual reconstructions of buildings and cities have become essential tools for scholars, architects, and museums. Showing a 3D model is impressive, but behind that result lies a series of choices, sources, and assumptions that often stay hidden. Without clear documentation β the soβcalled βparadataβ β we risk losing the knowledge that guided the reconstruction and diminishing its scientific value. The IDOVIR project was created to fill this gap. It is a userβfriendly web platform designed to gather all source data, methodological decisions, and reliability assessments of a digital reconstruction. The goal is to create a standardized, accessible workflow for everyone, from seasoned researchers to curious students. So far, the platform has attracted many users and numerous projects are publicly available for consultation and comparison. This allows anyone to verify how a model was built, which sources were used, and what uncertainties were considered. Transparency promotes collaboration, avoids duplicated effort, and makes it easier to assess reconstruction quality. In the future, IDOVIR could become the reference standard for documenting virtual reconstructions, ensuring digital knowledge stays alive and shared.
The IDOVIR framework relies on an extensible metadata model inspired by CIDOCβCRM standards for cultural heritage management. Users can link each 3D model element to a unique identifier (URI) pointing to external resources: plans, photographs, historical texts, or laserβscan results. The system records generalisation choices (e.g., surface simplification) and interpretative assumptions (e.g., reconstructing missing parts based on stylistic analogies). Additionally, IDOVIR includes a reliability assessment module that assigns a confidence score to each component, based on criteria such as the number of primary sources, consistency with archaeological data, and expert review. The workflow follows three steps: (1) import raw data, (2) annotate paradata using predefined templates, (3) publish to an open repository under a CCβBY license. The platform offers interoperability via RESTful APIs, allowing integration with GIS, BIM, and visualization tools like Unity or Unreal Engine. These features enable IDOVIR not only to document but also to make data reusable for comparative analyses, environmental simulations, or educational purposes, fostering a culture of transparency in digital reconstruction.
