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DATAMITE: Data monetisation, interoperability, trading and exchange

DATAMITE: Data monetisation, interoperability, trading and exchange

Guest/partner contributor
Posted on: 2 June 2025

DATAMITE helps EU companies to better govern and monetise data by delivering a modular open source framework in the form of software modules, training and business materials for European companies.

Image: 123RF.com

DATAMITE helps EU companies to better govern and monetise data by delivering a modular open source framework in the form of software modules, training and business materials for European companies.

DATAMITE is planned to deliver several key benefits to companies, among them improved data quality, skills enhancement, revenue generation through new revenue streams and connection with stakeholders in data markets and data spaces.

There also is support for SMEs, with DATAMITE's architecture helping to bring small and low-tech businesses into the data economy.

Overview of the energy data spaces pilots

It is through its innovative pilots that DATAMITE can best demonstrate its full potential for innovation in data sharing, governance and quality assessment.

Offering data to service providers with data spaces

Component deployment and testing was completed by month 25 (January 2025). Current priorities include deploying and testing the relevant DATAMITE components, completing test scenarios and contributing to course design.

In addition, the deployment will soon be moved from Google Cloud VM to a permanent solution.

Future steps are:
● Migrate deployment to on-premises infrastructure.
● Deploy data sharing components and publish anonymised sensitive and composite data products.

Leverage electricity distribution open data

The internal infrastructure, which will be based on an MS Azure environment, is ready for deployment, while data quality, data governance and data support tools have already been implemented.

Testing will take place in three phases and will focus on improving data collection and sharing processes.

Future steps are:
● Complete and validate pilot test scenarios.
● Deploy and test components from the data support tools, data quality and data governance modules that will be the focus of the first two levels of test scenarios.

About the authors

Alejandra Espino del Rio is Marketing Manager at AUSTRALO, a marketing agency with the mission to accelerate the lab-to-market value chain. Currently, AUSTRALO is responsible for the communication and dissemination, innovation and exploitation and ecosystem building of 45 projects funded by Horizon Europe.

Ricardo Almeida Henriques is European and Business Transformation Projects Manager at E-REDES, the Portuguese mainland electricity DSO. E-REDES is the leader of one of the energy sector pilots at DATAMITE, which has the main objective to leverage open data product data sharing in energy data spaces.

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