European Collaborative Cloud for Cultural Heritage – Innovative Tools for Study, Conservation and Restoration

ExpectedOutcome:Projects should contribute to all of the following expected outcomes:The European Collaborative Cloud for Cultural Heritage (ECCCH) is widely used by European cultural heritage professionals and researchers[1] for the study of cultural heritage objects[2], supporting research, innovation and didactic purposes.The ECCCH is widely used by European cultural heritage professionals and researchers to support conservation and restoration works, both for planning, implementation and documentation.European cultural heritage professionals and researchers are provided with clear information as well as targeted training modules on the innovative tools and methods developed. Scope:This topic aims at developing and implementing a set of innovative tools and methods on the European Collaborative Cloud for Cultural Heritage (ECCCH) based on the digital twins of cultural heritage objects stored in the ECCCH, for the study, conservation and restoration of cultural heritage objects. Concrete applications of these tools and methods should be provided for at least the following uses:Supporting the study of cultural heritage objectsSupporting conservation and restoration works Supporting the study of cultural heritage objectsFor this use, projects funded under this topic should develop tools and methods which build on the digital twins of cultural heritage objects stored in the ECCCH to allow cultural heritage professionals and researchers to structure, encode, store and analyse all knowledge needed for the study of a cultural heritage object such as artworks, prints, drawings, etc. Such combined use of multiple types of digital visual and other data available on the ECCCH could revolutionise current methodologies in research, documentation and didactics related to the study of cultural heritage objects. The tools would enable visualisation and measurement, support analysis and documentation of the reasoning process (e.g. via annotations or metadata), and build on highly accurate digital representations of the object (2D, 3D, 4D) stored in the ECCCH. The tools should allow to access, interlink, enhance, enrich and archive all necessary knowledge. Search-by-similarity queries should be possible over the ECCCH, based on innovative AI solutions.The focus is not only on documenting and archiving multiple heterogeneous documents, but also on identifying, storing and visualising connections among those assets. The digital twin of the cultural heritage object should be a spatial index for structuring and presenting all this knowledge. A cooperative approach should be enabled, with full control of who can access what.Supporting conservation and restoration worksIn the cultural heritage field, many different types of data are typically used to describe and monitor the condition of objects for conservation and restoration purposes, such as survey data, scientific imaging, reports, maps of degradation, photographic collections, historical archives, material sample analyses, etc. Many different professional disciplines are involved in data collection, processing and analysis (e.g. art history, architecture, conservation, materials science and engineering). Data collection, processing and analysis is an extremely complex task, performed both before and during restoration/conservation works.For this use, projects funded under this topic should develop tools and methods to collect, manage and use data - with associated knowledge - for conservation and restoration purposes. These tools should build on the digital twins of cultural heritage objects stored in the ECCCH and enable users to structure, encode, store, and analyse all resources needed for conservation assessment, restoration planning, and for documentation of restoration results, within a well-defined and dynamic collaborative framework.To cater to the needs of the wide range of professionals involved, the tools should address at least:Capture and management of information about material objects (including static and dynamic sensor networks), ensuring continuously updated digital twins in the ECCCH.Characterisation of the physical state of artefacts through analysis of material samples, scientific imaging, simulation of behaviours, etc.Efficient digital tools to assist users in analysis, diagnosis, and decision making.Evaluation and validation of documentation (including examination of diagnostic studies), to establish reproducible protocols for other (future) conservation and restoration efforts.Monitoring and archiving the conservation/restoration process over time with a long-term perspective, to prevent unnecessary degradation and plan for future restoration activities. AI based methods have the potential to play a key role in developing improved methods for solving research questions or gaining insights about data, such as categorisation, segmentation, recognition, analysis, and understanding. The goal should be to semi-automate work-intensive activities that are common in conservation and restoration.With a view to use resources efficiently and go beyond the state of the art, projects funded under this topic should, where appropriate, build on previous existing research, methods and solutions. Proposals should therefore ensure that existing tools and methods and their potential (re-)use are properly examined.Ease of use for the target users is of paramount importance. Therefore, tools and methods should be developed in close collaboration with actively involved representative target users. Furthermore, tools and methods should be thoroughly tested and verified with a significant number of users before the end of the project. Financial support to third parties may be used to facilitate the engagement with users. The financial support to third parties can only be provided in the form of grants.In order to facilitate the access for less well-equipped users, the developed software tools should to the extent possible be accessible online without r