Digital tools for supporting data-driven management and analysis of CH diagnostic results

In the Cultural Heritage (CH) domain diagnostic data resulting from different analyses are often managed on different levels, archived in different storage systems, studied with different tools. Recent research efforts have been focused on improving the interoperability of CH diagnostic results, through the implementation of digital tools and platforms able to define a shared environment for data management and analysis. In this framework we present a preliminary study aimed at investigating the design and development of effective graphical user interfaces (GUI) and visualization methods for assisting the collaborative study and interpretation of data, based on the use of informative digital models and annotations. Starting from the results of this preliminary study, we defined a set of digital tools for remotely managing and interactively visualizing in the same reference space different data resulting from non-invasive diagnostics applied to CH. In its first implementation our work resulted in an integrated web tool, based on the 3DHOP framework, providing interactive visualization of digitized 3D models integrated with sensor data for microclimatic monitoring. This prototypal tool provides diagnostic data entry, interactive 3D model annotation and interrogation, plus a set of data-driven visualization modes specifically designed. The tool also provides data sharing and remote analysis, and potentially enables interconnected features such as collaborative workflows and integration with other tools and systems, like repositories and external archives.