Webinar series | Data Monetization: Organizational Maturity and Strategies for Implementation
We are launching the new series of webinars ‘Unlocking Data Value with DATAMITE!’ to showcase the work carried out at DATAMITE over the last years.
On 9 October, Udo Bub from 1001 Lakes, delivered the third webinar in our 'Unlocking Data Value with DATAMITE' series, exploring data monetisation.
You can view the presentation here.
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Webinar series | Data Valuation: Maximizing Business Potential
We are launching the new series of webinars ‘Unlocking Data Value with DATAMITE!’ to showcase the work carried out at DATAMITE over the last years.
On 2 October, Rob Schneider from FIR an der RWTH Aachen, Margit Hofer from Centre for Social Innovation (ZSI) and Eduardo Vyhmeister from University College Cork delivered the second webinar in our 'Unlocking Data Value with DATAMITE' series, exploring data valuation.
You can view the presentation here.
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Webinar series | Legal Frameworks for Data Trading: Ensuring Legal & Ethical Compliance
We are launching the new series of webinars 'Unlocking Data Value with DATAMITE!' to showcase the work carried out at DATAMITE over the last years.
On 18 September, Polina Petrova from Law and Internet Foundation and Margit Hofer from Centre for Social Innovation (ZSI) launched our new webinar series: 'Unlocking Data Value with DATAMITE'. They delivered a one-hour webinar exploring the legal frameworks for data trading.
You can view the presentation here.
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Consultation European Commission for the Forthcoming Data Union Strategy: Views of the DATAMITE Consortium
In line with its policy of contributing to open science and having a real impact on European data policies, DATAMITE is making its views on the European Commission's consultation for the forthcoming Data Union Strategy available to everyone.
Law and Internet Foundation, a DATAMITE partner, has written a policy brief in which DATAMITE aims to contribute to and enhance the forthcoming New European Strategy for Data. “In view of the launched Open Consultation on the forthcoming New European Strategy for Data, the following paragraphs are concerned with evaluating considerations drawn from the experience of DATAMITE, but also general views beyond its context, that shall serve as guiding points when deciding on the pillars of the New Strategy”, she says.
Read the EU Data Strategy policy brief here, or the extended version here.
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DATAMITE from a business point of view
Designed with real market needs in mind, DATAMITE enables companies to unlock the value of their data. It provides tailored monetisation strategies, open-source tools and actionable business models to achieve this. In the 'DATAMITE from a business point of view' video series, we explore how DATAMITE facilitates fair data valuation, generates new business opportunities and establishes a foundation for the sustainable exploitation of data across European industries. To this end, we interviewed four partners responsible for some of DATAMITE's use cases.
Konstantinos Kontodimas and Iason Panagos from HEDNO, a key partner in the development of DATAMITE pilots. From a business perspective, HEDNO demonstrates how the DATAMITE Framework empowers organisations to accelerate their digital transformation and enhances the efficiency and sustainability of electricity distribution networks.
Ricardo Henriques and Pedro Boto from E-REDES, DATAMITE’s partner leading the 'Leveraging Electricity Distribution Open Data' Pilot. From a business perspective, a refined version of the DATAMITE framework could be deployed and managed by E-REDES's DATAHUB to share data with external stakeholders. In addition, data stewards could then be given permissions to create artefacts and data products, define relevant data quality KPIs, and define the entities with which the data should be shared, giving them more autonomy in the process.
Achilleas Marinakis and Christos-Antonios Gizelis from OTE, DATAMITE’s partner leading the 'Corporate Multi-Site Data Exchange' pilot. From a business perspective, OTE shows how the DATAMITE Framework can create new opportunities for data-driven innovation and improve operational efficiency in the energy sector.
Federico Piñuela García from Grupo Gimeno, DATAMITE’s partner leading the 'Corporate Multi-Domain Data Exchange with DIH Support' pilot. From a business perspective, Grupo Gimeno uses the advanced data-sharing and analytics capabilities of the DATAMITE framework to optimise processes and unlock new business.
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Why is it important to have a legal partner in a data project?
At DATAMITE, our goal is to encompass every facet of data exchange and monetisation. To this end, our consortium includes partners that extend beyond the technological and monetary fields, such as the Law and Internet Foundation (LIF). LIF is responsible for providing thorough insights into the EU legal framework for data transfers, with a particular focus on the Regulation on the Free Flow of Non-Personal Data in the European Union and the General Data Protection Regulation (GDPR).
To illustrate the importance of having a legal partner on a project like DATAMITE, we interviewed Polina Petrova and Daniela Ilieva from LIF. They explained how their work enables the formulation of tailored legal and ethical requirements specific to the technical components of DATAMITE, ensuring their compliance with relevant legal and ethical requirements.
Watch the video here and below.
DATAMITE Plenary Meeting in Bilbao
From 8 to 10 April, the DATAMITE consortium held its first plenary meeting of 2025 in Bilbao, Spain. This important meeting was held to discuss the steps needed to achieve the project's goal before DATAMITE ends, presumably by the end of the year. As at the previous plenary meeting in Aachen, the agenda included a CodeCamp day with the project's developers on the first day, followed by two days with the entire consortium. Each work package presented its progress and future steps.
The first day was spent at CodeCamp. This edition focused on coding and component integration. Participants were split into groups and worked on specific tasks related to Work Packages 2 (Data Sharing Mechanisms and Data Sovereignty) and 3 (Data Governance, Quality, Security and Support Modules). Through collaborative sessions and structured objectives, the teams made significant progress in developing and integrating these components. This culminated in a joint wrap-up session, during which the teams presented their achievements and planned their next steps.

The remaining partners who were not involved in the CodeCamp joined on 9 and 10 April. The two-day plenary meeting focused on reviewing progress and aligning the next steps for all work packages. On the first day, the project coordinator (ITI) began with updates, outlining the project's current status, future deliverables, and important recommendations. Sessions covered essential topics such as data asset sizing, KPI development, legal applicability, energy consumption. Each topic was discussed through concise, action-oriented presentations.
One of the day's highlights was the interactive 'Gender Bias' session, which was led by Margit Hofer from ZSI. She illustrated how poor data quality affects not only a company's revenues, but also society, resulting in biases in AI models relating to race and gender. Approaching the topic from a dynamic, brainstorming perspective as a project was very instructive and inspiring.

In the afternoon, Pilots 5 and 6 were spotlighted to demonstrate progress on real-world integration. This was followed by an in-depth exploration of open-source business models and Eclipse ecosystem opportunities.
The second day covered the remaining pilot updates (Pilots 1–4), communications KPIs, the intellectual property strategy, and the Data Monetisation Maturity Model. The meeting concluded with a discussion about future training materials, preparing the consortium for the next implementation phase.
In addition to three days of intensive work, the DATAMITE consortium enjoyed a visit to the Guggenheim Museum, followed by a traditional Basque dinner in the centre of Bilbao. Many thanks to our colleagues at Tecnalia for hosting the plenary meeting.
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Driving Data Innovation: Progress and future plans for DATAMITE pilots
The DATAMITE project is steadily progressing through its six innovative pilots, each addressing unique data management challenges and demonstrating DATAMITE's potential for innovation in data sharing, governance and quality assessment. With milestones set through 2025, these pilots will strengthen the DATAMITE framework's ability to address diverse sectoral challenges and provide sustainable, scalable solutions for data sharing and management.
Here is an overview of the progress and upcoming milestones for each of these pilots:
Pilot 1: Data exchange between companies within the same corporate group
The infrastructure for data exchange is in place, with an on-premises DATAMITE ecosystem using PostgreSQL, MongoDB, and Cassandra. Test scenarios have been established, and a beta test API, developed using Django, facilitates interactions for OBREMO and FACSA use cases. Sensitive data management is in line with DATAMITE's legal advice, with problematic and controversial data being removed. Finally, cloud deployment testing is underway in collaboration with ITI.
Future steps
- Deployment of the DATAMITE framework, at least in the on-premises infrastructure.
- Communication and connection testing with API, with additional integration in case of interest.
- Collect and analyse initial KPIs.
- Produce multimedia materials to showcase test results.
- Drafting the pilot report.
Pilot 2: Corporate Multi-Site Data Exchange
The DATAMITE framework has been deployed in a development infrastructure. Test scenarios and synthetic datasets have been prepared in Month 23 (November 2024). The team is refining the data structures and running preliminary evaluations of the framework's performance.
Future steps
- Full deployment of the framework in the pilot development infrastructure.
- Finalise and execute use case validation.
- Set up production pilot infrastructure in Azure.
- Evaluate the DATAMITE framework on different operating systems, such as Red Hat Enterprise Linux flavours, to compare with traditional distributions such as Ubuntu or Debian.
- Submit a publication describing the pilot to the next AIAI 2025 conference.
Pilot 3: Offering Data to Service Providers with DataSpaces
Component deployment and testing began in month 17 (May) and is scheduled to be completed by month 25 (January 2025). The current priorities include deploying and testing the relevant DATAMITE components, finalizing the test scenarios, and contributing to the course design. Additionally, the deployment will soon be moved from Google Cloud VM to a permanent solution.
Future steps
- Carry out the first iteration of scenario testing between November 2024 and the end of January 2025, completing component deployment and testing, and gathering feedback to refine the second iteration of scenarios testing from March 2025.
- Migration of the deployment to an on-premises infrastructure.
- Deployment of Data Sharing components and publication of anonymised sensitive and composite data products.
- Draft the initial pilot report.
Pilot 4: Leverage Electricity Distribution Open Data
The internal infrastructure, which will be based on a MS Azure environment, is ready for deployment, while Data Quality, Data Governance and Data Support Tools have already started to be deployed. Testing will be divided into three levels and is focused on improving data collection and sharing processes.
Future steps
- Complete and validate pilot test scenarios.
- Deploy and test components from the Data Support Tools, Data Quality and Data Governance modules until the end of January 2025, which will be the focus of the first two levels of the test scenarios
- Draft the initial pilot report
Pilot 5: Connecting eDWIN to Data Markets
The team has completed the integration with Pontus-X for the agri-food sector. Meteorological data has been integrated with AIM and normalisation pipelines for pest and production (agrifood domain) datasets are operational.
Future steps
- Complete the first automated data workflow.
- Integrate eDWIN with DATAMITE data quality and data governance tools.
- Conduct test scenarios and complete demonstrators by the end of February 2025.
Pilot 6: Connecting MISTRAL to the EU AI-ON-Demand Platform
Resource allocation on the cloud is underway, along with the deployment of the development environment to test the DATAMITE framework. The team is also currently defining data quality checks and analysing data connectivity for external catalogues such as AI-on-Demand and the Mistral Open Data Catalogue.
Future steps
- Integration of the DATAMITE framework with the Mistal platform.
- Implementation of a Mistral connector to retrieve (meta)data in the DATAMITE framework.
- Dissemination of the data catalogue with data sharing to a local open data catalogue on the one hand, and to an external AI-on-demand platform on the other.
- Set up user-defined custom rules.
- Enable data quality checks with the Data Quality Module.
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DATAMITE plenary meeting in Aachen
From 26 to 28 November, the DATAMITE consortium met in Aachen for its second - and last - plenary meeting of 2024. As at the previous plenary meeting in Poznan, the agenda was divided into a first day of CodeCamp with the developers involved in the project, followed by two days with the whole consortium, where each work package had its moment in the spotlight with presentations and/or workshops.
The first day was spent at the CodeCamp, as a warm-up for the plenary sessions that would take place over the next two days. This edition was less about coding and more about practical activities and shaping the future of the DATAMITE framework. All DATAMITE design and coding partners were divided into parallel sessions, according to their needs, in order to get the most out of CodeCamp.
On 27 and 28 November the remaining partners who were not involved in the codecamp joined in. The DATAMITE consortium exchanged ideas, discussed the results of the review meeting and set the roadmap for the final year of the project. In contrast to previous plenary meetings, and despite the structure of the agenda being divided into work packages, the Aachen meeting was much more practical and focused on encouraging the participation of all partners in all work packages through more interactive workshops and sessions.
Some of the main topics discussed were the six pilot projects of the project and the future steps to be taken before the end of 2025. Exciting things to come next year!
In addition to three intense days of work, the DATAMITE consortium enjoyed a guided tour of the Aachen Christmas Market and a visit to the Demonstration Factory, which is a central component of the Smart Logistics Cluster on the RWTH Aachen campus, thanks to the colleagues from FIR RWTH Aachen University who hosted this plenary meeting.
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DATAMITE presents a paper at ICCBDC 2024
DATAMITE presented its groundbreaking research at the International Conference on Cloud Computing and Big Data (ICCBDC) 2024, held at Oxford University, UK, from 15 to 17 August. The conference provides an international platform for engineers and scientists to discuss advances and applications of cloud and big data, with sessions on data modelling, machine learning, image processing and information security. DATAMITE's paper introduced a new dimension of data quality called 'Purity', which assesses the relevance and importance of data sets in distributed networks, particularly in cloud computing environments. The presentation at ICCBDC underlined DATAMITE's commitment to pioneering data quality solutions.
The paper - called 'Purity: a New Dimension for Measuring Data Centralization Quality' - written by researchers from Tecnalia, partner of DATAMITE, and from Deusto Institute of Technology, emphasises 'Purity' as a crucial metric for assessing the relevance and significance of datasets within decentralised networks, particularly in cloud computing environments. This metric enables organisations to predict data quality issues before data merges, thus optimising cloud resources and facilitating data-driven strategies. The research underscores that early identification of potential quality concerns can streamline processes, enabling more efficient and accurate data handling.
The effectiveness of the purity dimension is validated through a mobility use case, Intelligent Transportation Systems (ITS), analysing four datasets from varied domains. The study assessed each dataset's importance within the network using centrality indicators—degree, betweenness, and closeness—. Key insights included:
- Degree Centrality: Measures direct connections a dataset has, indicating connectivity-based importance.
- Betweenness Centrality: assesses how often a dataset acts as an intermediary in communication between other datasets, highlighting its role in information transfer.
- Closeness Centrality: Evaluates the efficiency of communication by measuring how quickly a dataset can reach others.
The paper also introduced a comprehensive quality evaluation framework covering six dimensions: accuracy, completeness, timeliness, validity, uniqueness, and consistency. Through mathematical formulations, this framework supports predictive quality evaluations of merged datasets. Future research will refine the 'Purity' metric, enhancing its applicability across various domains and data environments.
As part of the outstanding work carried out by the researchers and their presentation at the ICCBDC, they were awarded the Excellent Oral Presentation Award at the conference.
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