MODERATE is essentially a collection of three things:

• A few well-curated public datasets related to the building sector.
• A collection of web applications and CLI tools aimed at solving specific challenges in the building data analysis domain. Please see tools and services for further information.
• A central web application referred to as the MODERATE Platform (http://www.moderate.cloud) which serves as an entry point to some tools and also as a catalogue to upload, browse, and download datasets, as well as some other proofs of concept.

MODERATE aims to connect data providers with other building stakeholders by improving interoperability between datasets, by making use of data from different providers and aims to develop services based on data analytics that can transform raw data into knowledge for end-users.

Lack of interoperability between building datasets is a key issue MODERATE aims to address by developing an open marketplace where data can be reliably shared between data owners. In a next step, the platform will allow for users to make use of different services to analyse the available data, gain insights on the building stock and create a long-term impact for the management of buildings.

A key aspect of the platform to increase trust for providers to share the data they own, is the use of synthetic data generation techniques, which are not widely applied in the building sector yet. These techniques protect the most sensitive data similar to classical anonymization and keep 80 to 90% of the most valuable parts to allow for insightful data analytics.

MODERATE connects data providers with other stakeholders in the industry. On one hand owners of building data sets (Facility Managers, ESCOs, regional/national government agencies, …) can reliably share their data through the platform and integrate it with others for aggregated datasets.

In a next step the data providers, together with other building stakeholders, can make use of the data analytical tools that will provided through to platform to gain meaningful insights from the data available through the MODERATE platform.

	This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101069834. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or CINEA. Neither the European Union nor the granting authority can be held responsible for them.