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ABSTRACTIn order to promote a progressive digitisation of the construction sector, there is the need of processes and instruments that can be dynamically adapted to the different competencies of the personnel involved in the sector itself. In the same way, these instruments have to be developed looking at the real needs of the industry, including services devoted to satisfying the contingent requirements that arise in real cases. Following this direction, the presented research project is focused on the development of a digital collaboration platform devoted to facilitate the introduction of digital practices, promote the transfer of knowledge and provide useful services including the whole chain. The structure of the platform includes two levels: the first level constitutes the driver for the use of the system, providing an effective means for collaboration and through this promoting the diffusion of digital processes and the transition to the use of digital data. The second level, the core of the digital collaboration platform, provides an inclusive environment where data are deconstructed, reorganised and analysed facilitating the transfer of knowledge throughout the entire sector. This brief paper presents the main line of our Ph.D. research project, exploring the high-level architecture of the system and providing the achieved results and the future activities of the project.INTRODUCTIONThe concept and consequently the practice that actually sees Building Information Models1 created, used and shared as files can hinder the implementation of integrated processes, due to the demonstrated difficulties of effective interoperability between different software \citep{Torma_2013}. Furthermore, this issue could have a disruptive effect in the long-term period, due to the huge distance between the software2 life cycle and the life cycle of the real object virtually represented through the software itself, i.e. buildings and infrastructures \citep{Graham_Serginson_Lockley_Dawood_Kassem_2013}. However, in the actual market framework, there are few solutions able to handle the data dimension and the stated capability of complete interoperability between different software is often inapplicable in real cases. On the other hand, it is critical consider the evolution registered in the informatics market and its future trends. In the last 20-plus years, companies have invested an estimated $3-4 trillion in IT and the results of these huge efforts were data silos, schema proliferation, and radical data heterogeneity \citep{Held_Stonebraker_Davenport_Ilyas_Brodie_Palmer_Markarian_2016}. Nowadays the central role of data is gaining more (and new) importance thanks to the development of new technologies able to collect and elaborate an increasing volume of informative atoms \citep{ConfindustriaDigitale_Assinform_2016a} with innovative analytic techniques. These last require a different approach because the existing data silos hinder effective use of data requiring new investment for data integration, data cleaning, etc. Furthermore, this framework often produces the impossibility of recovery information from the archived data and apparently simple queries cannot be answered. In \citep{Held_Stonebraker_Davenport_Ilyas_Brodie_Palmer_Markarian_2016} Michael Stonebraker stated that