The proposal should:

• Enhance the collection and quality of energy and related (e.g. life cycle) data for buildings (including heating, ventilation and air-conditioning, indoor environment quality, all technical equipment, lighting and other appliances) through various sources such as manufacturers’ data, BIM and digital twin models, surveys, digital logbooks, sensors, meters, interfaces (statistical, structured and big data) and Level(s).
• Explore approaches to integrate dynamic data from buildings (e.g. coming from sensors) with metering static data (e.g. data spaces, energy performance certificates databases), statistical data, and other types of data (e.g. qualitative feedback from building users).
• Ensure the proposed approaches build on interoperability and cloud-based solutions that and allow for seamless collection and use of data from the buildings, systems and subsystems.
• Develop new or enhance existing open source data analytics dashboards and prediction tools.
• Develop improved tools for digital simulation and digital twinning.
• Develop, enhance and integrate existing open data sharing platforms, including where relevant by refining and integrating building data reference architectures and making links with relevant data spaces.
• Contribute to the development of open access and standardised European buildings data repositories, also supporting the development of related EU initiatives.
• Promote fair data management practices to ensure findability, accessibility, interoperability and re-usability of data.
• Seek to ensure from the design phase that the project is developed with a view to integrate its results/deliverables under a digital building logbook.
• Demonstrate digital data exchange platforms for building. The solutions should be interoperable and able to interact with grid management platforms.
• Demonstrate real use cases with business potential (e.g. smart energy services) valorising high quality building performance data, e.g. to accurately monitor energy consumption and production across different fuels (for instance integrated heating and cooling and hybrid systems) as well as other relevant performance criteria.
• Demonstrate that the proposed solutions allow to significantly improve the monitoring of the building stock performance, taking into consideration all relevant aspects (e.g. environmental, economic, and social ones).