MODERATE Open Marketplace for Building Data

The MODERATE platform will enable users to analyse real-time data from various building systems and provide information on different indicators of the performance of a building.

MODERATE is building a community

The platform will connect data providers with researchers, developers and other building stakeholders by improving both the interoperability & usability of building datasets.

MODERATE team

MODERATE is a consortium formed by building & IT-development professionals who are committed to facilitating the sharing of building data across Europe.

Unlocking the Future

Exploring the MODERATE Project. Journey into Sustainable Energy and Innovation

Learn more on Marketable Open Data Solutions for Optimized Building-Related Energy Services.

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Data nodes: Flexible data nodes based on open
standards keep data-producers in cotrol of their datasets

Data nodes: Flexible data nodes based on open
standards keep data-producers in cotrol of their datasets

Data nodes: Flexible data nodes based on open
standards keep data-producers in cotrol of their datasets

Data Synthetization and augmentation: machine learning
synthetization techniques make possible sharing an open
dataset while satisfying anonymization requirements and
preserving the commercial value of the original dataset

Data Synthetization and augmentation: machine learning
synthetization techniques make possible sharing an open
dataset while satisfying anonymization requirements and
preserving the commercial value of the original dataset

Apps and services: A collection of open-source data
driven analytics bridges the gap between information and
knowledge.

Apps and services: A collection of open-source data
driven analytics bridges the gap between information and
knowledge.

More robust, improved and consistent monitoring of
performance of buildings

More robust, improved and consistent monitoring of
performance of buildings

Data nodes: Flexible data nodes based on open
standards keep data-producers in cotrol of their datasets

Data Synthetization and augmentation: machine learning
synthetization techniques make possible sharing an open
dataset while satisfying anonymization requirements and
preserving the commercial value of the original dataset

Apps and services: A collection of open-source data
driven analytics bridges the gap between information and
knowledge.

More robust, improved and consistent monitoring of
performance of buildings

In a nutshell

MODERATE project

By improving interoperability between datasets, MODERATE makes 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.

MODERATE’s advisors and stakeholders

Success Stories

MODERATE

MEET THE TEAM

Eurac

Italy

UCL

Belgium

Unive

Italy

Ctic

Spain

TU Wien

Austria

E-Think

Austria

Vito

Belgium

Links

Italy

REHVA

Belgium

Wurth

Italy

Veolia

Spain

IVE

Spain

Enercoop

Spain

Ubik

Spain

Kohler

Germany

Synavision

Germany

InnEurope

Spain

OUR SERVICES

Service Area

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Blood Testing

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Biochemistry

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Microbiology

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Histopatology

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Biochemistry

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Genetics

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Blood Testing

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    Kathryn Murphy Manager of (FlaxStudio)

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