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Project cluster: HORIZON-CL4-2022-DATA-01-04

One of the main intentions of DATAMITE is to harness the multiplier capacity of initiatives advocating for the data economy. The more the merrier. That is why the project leverages the consortium’s leadership and participation in active ecosystems to create synergies, bridging the collaboration across the data value chain.

DATAMITE exploits the leading position of the consortium to nurture strategic synergies, creating visibility and fostering adoption of the open-source modules among the major EU ecosystems. Rather than building a small-scale silo, the project addresses and influences well-established communities. Special attention to build technical and promotional synergies with the project cluster under the same topic: HORIZON-CL4-2022-DATA-01-04: Technologies and solutions for data trading, monetizing, exchange and interoperability (AI, Data and Robotics Partnership).

FAME: Federated decentralized trusted dAta Marketplace for Embedded finance

FAME [Federated decentralized trusted dAta Marketplace for Embedded finance], is a joint effort of world-class experts in data management, data technologies, the data economy, and digital finance to develop, deploy and launch to the global market a unique, trustworthy, energy-efficient, and secure federated data marketplace for Embedded Finance (EmFi). The FAME marketplace will alleviate the proclaimed limitations of centralized cloud marketplaces towards demonstrating the full potential of the data economy. 

FAME will become operational in a federated cloud environment with multiple providers of EmFi data assets, including datasets, AI/ML models, and more. It will become interconnected with more than 12 data marketplaces that will support the implementation of 7 pilots. Furthermore, FAME will establish a Learning Center (LC) for tech and non-tech users, as this is a key prerequisite for unlocking the potential of the data economy.

PISTIS: Promoting and Incentivising Federated, Trusted, and Fair Sharing and Trading of Interoperable Data ASsets

PISTIS [Promoting and Incentivising Federated, Trusted, and Fair Sharing and Trading of Interoperable Data ASsets] brings forward a reference federated data sharing/trading and monetisation platform for secure, trusted and controlled exchange and usage of proprietary data assets and data-driven intelligence. PISTIS will advance the available techniques and technologies, such as federated data discovery and sharing, DLTs, data non-fungible tokens (NFTs), AI-driven data quality assessment and monetisation, to build trust among stakeholders and assuage their concerns. Such stakeholders will formulate a distributed network of existing and new data spaces with built-in governance brought by PISTIS to eliminate silos while accruing the actual data value and multiplying it through derivative assets in a fair and transparent manner.

UPCAST: Universal Platform Components for Safe Fair Interoperable Data Exchange, Monetisation and Trading

UPCAST [Universal Platform Components for Safe Fair Interoperable Data Exchange, Monetisation and Trading] provides a set of universal, trustworthy, transparent and user-friendly data market plugins for the automation of data sharing and processing agreements between businesses, public administrations and citizens. Their plugins will enable actors in the common European data spaces to design and deploy data exchange and trading operations guaranteeing automatic negotiation of agreement terms, dynamic fair pricing, improved data-asset discovery, privacy, commercial and administrative confidentiality requirements, low environmental footprint, as well as ensuring compliance with relevant legislation and ethical and responsibility guidelines.

Four real-world pilots across Europe will operationalise a set of working platform plugins for data sharing, monetisation and trading, deployable across a variety of different data marketplaces and platforms, ensuring digital autonomy of data providers, brokers, users and data subjects, and enabling interoperability within European data spaces.

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How will we contribute to the EU Year of skills?

Following the announcement by President Ursula von der Leyen in her last State of the Union speech, 2023 is the European Year of Skills. The main objective of this year is to  help companies, in particular small and medium enterprises (SMEs), to address skills shortages in the EU. As the European Commission highlights, having a workforce with the skills that are in demand contributes to sustainable growth, leads to more innovation and improves companies' competitiveness.

In the current world, characterized by concern for the environment and the digital revolution of the industry impacting all economic sectors, the twin transition (green and digital) opens unprecedented opportunities for people and the EU economy. DATAMITE, well aware of the need to improve society digital skills will contribute to upskill on technical and business aspects thanks to the multiple open-source training materials the project will generate.

The Digital Economy and Society Index shows that 4 out of 10 adults and every third person who works in Europe lack basic digital skills. This represents a huge loss of workforce and therefore a loss for the European economy. The European Year of Skills is part of the Europe’ Digital Decade (2020 - 2030) and the 2030 Digital Compass, which targets of at least 80% of adults with basic digital skills and 20 million employed ICT specialists in the EU. DATAMITE has as its core to improve users digital skills to facilitate the monetisation of the European enterprises and public administrations’  data.

DATAMITE delivers a modular, open-source and multi-domain Framework, to improve Data Monetizing, Interoperability, Trading and Exchange, in the form of software modules, training and business materials for European companies, empowering them to become new relevant players in the data economy. According to the 2030 Digital Compass, 75% of EU companies should use Cloud, AI, and/or Big Data by the end of the decade. DATAMITE’s framework is designed to overcome these challenges helping the European companies to unleash the monetization potential of their data by developing a set of key modules: 

• Data Governance.
• Quality.
• Security.
• Sharing.
• Supporting Tools.

DATAMITE will contribute to improve European digital skills and the European high-tech business potential by unleashing the monetisation potential of Big Data at two levels: internal and external. At an internal level, users have tools to improve the quality management of their data, the adherence to FAIR (Findable, Accessible, Interoperable, Reusable) principles, and can upskill on technical and business aspects.

At an external level, keeping users in control of their data provides new sources of revenue and interaction with other stakeholders. In addition, the architecture envisioned for DATAMITE enables DIHs sandboxing, becoming a potential instructor on their onboarding of SMEs and low-tech SMEs into the data economy. 

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#WomenInScience: Meet Daniela Greven

Every 11th of February the world hosts the International Day of women and Girls in Science. This milestone is a celebration but, moreover, it is a reminder of the need to achieve equality in STEM in order to not miss any possible talent. “A significant gender gap has persisted throughout the years at all levels of science, technology, engineering and mathematics (STEM) disciplines all over the world. Even though women have made tremendous progress towards increasing their participation in higher education, they are still under-represented in these fields”, says the UN.

The DATAMITE consortium is well aware of the reality of inequality in the STEM sector and fully supports the integration of gender and diversity analysis in research activities to achieve the most complete results that include all the parts that make up the reality of society. All activities conducted in DATAMITE take the measures necessary to ensure all members of the society benefit equally from the project outputs.

To learn more about women in STEM and how girls can be encouraged to choose this career path, we talk to Daniela Greven, member of DATAMITE on behalf of FIR an der RWTH Aachen, and leader of the Work Package 4.

When and why did you decide to dedicate yourself professionally to science or tech?

I became interested in natural sciences at an early age and quickly found my strengths there as well. When I was about 14 years old, I interned at an engineering office in my hometown. From then on I knew that I wanted to be an engineer!

As a woman, do you think it is important to have female references when choosing the professional path? 

My role models are not only purely female. However, it definitely gives me a boost in this very male-dominated domain to see how other women are following or have already followed a similar path to mine. It is inspiring what some women have already achieved and built up in their careers. Every day each one of us goes new ways and talking about it encourages one another again and again to try something new, outside the traditional way.

How do you expect working at DATAMITE impacts your career?

Within DATAMITE, I will be able to dive deeper into the area of data exchange and technical platform building and look at the interconnection and interdependency in relation to the business model than ever before. This will allow me to better understand and support the cross-sections working on technical solution building in the future. In addition, working in our very interdisciplinary team from all over Europe offers the chance to gain a higher understanding of cultural differences and uniqueness, which will become a core asset for the ever closer European collaboration.

What advice would you advise to any little girl who is thinking of studying something related to science or tech?

Don't let anyone tell you which path to take. Learn to value your interests and individual strengths. Bringing in a new, female perspective often opens the door to a completely new range of opportunity. You can do anything YOU want.

In DATAMITE we celebrate and value the work of all the women who have decided to dedicate their path to STEM. We also want to encourage all the little girls who want to become scientists or engineers in the future. 

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Welcome! We invite you to make some puzzles!

By Jordi Arjona Aroca, the DATAMITE Coordinator

Think of a puzzle. If you have little girls, like I do, you have a 100 pieces Elsa and Anna in front of you, but that is a different story. Each one of those 100 pieces is a data fragment. By themselves, they probably mean nothing or have no purpose. However, it is when we put them together, that we create an image, something valuable. Making the puzzle is usually straightforward, might take longer or not, but you have a perfect group of pieces, that match and complement and will let you extract some added value, conclusion, or Frozen picture. Now well, problems come if your daughters mixed three puzzles, took 20 pieces at random to see whether they float in the tube, and a couple more to see how they taste. Now you have more data that you really need (say 300 pieces), although your data is incomplete (remember those 22 fallen pieces), and you better forget of ever seeing that picture complete again.

These are examples of the challenges organizations face with their data. Organizations tend to store data that they will never use, maybe because it is not well described, or because it is not findable or not usable. In addition, these data usually have problems: it may not be complete, there may be outliers, there can be different ways of denominating the same information, ... basically, you do not have a 100 pieces puzzle. Moreover, in general, organizations have large quantities of data, but it is not good data. This has a critical consequence; it is extremely hard to monetize it.

Organizations need tools that allow them to easily enrich their data with metadata, uniformly, so non-technical personnel can easily find it, use it and consume it. They also need tools to ensure that data is good and, otherwise, be able to identify its issues and solve them. It is equally important to define security policies that ensure that only those who are allowed can access the data and avoid security breaches. Then, once you can ensure these aspects, you will be able to rely on your data and think of monetizing it, exploiting it internally, creating reliable models or projections that help boosting your revenues. Moreover, you may even think of sharing or trading it with third parties, but here, again, you must be able to define and enforce terms of use, which is not trivial at all. Of course, assuming that you have technical and business personnel that know how to handle your data.

Currently, we have tools that may aid in these purposes... but do not cover the whole span of needs organizations have. Furthermore, most of them will imply the payment of a hardly affordable, specially for SMEs, license. Open-source tools can help with some of the needs, but we do not have a framework that can help the organizations making up the European productive fabric.

DATAMITE is here to help. During our project we will create an open-source modular framework covering aspects related to data governance, quality, security, and sharing, mainly. Jointly with this, we will foster the creation of an open-source community around the project and produce, within, technical and business training materials with the mission of upskilling EU data professionals and assisting on increasing the maturity level of companies. To do so, we have put together a great and well-balanced consortium, led by ITI and composed by 26 partners of 12 countries. To validate our approach, we will deploy 6 different pilots in different environments (e.g., industry, energy, agrifood, meteo) and with different goals, such as sharing data in Data Spaces, with the EU AIoD or in EOSC, improving how data is consumed within large companies or how it can be offered to EU researchers.

Do you want a bunch of pieces? If you prefer a puzzle, stay tuned!

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