The fifth DATAMITE newsletter is out!
The fifth edition of the DATAMITE newsletter is now available. In this new edition you will find:
- Use Cases: Offering Data to Service Providers with DataSpaces. by HEDNO and CERTH.
- The latest interviews of our campaign: People behind DATAMITE.
- External and internal events we have attended as a consortium.
- Don't miss the video we made for the International Day of Women and Girls in Science: "We are proud to be women scientists".
- Call for Papers and Abstracts!
Read it in our Zenodo repository, and in our LinkedIn Newsletter section.
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EGI2024: Call for Abstracts!
EGI2024 will be held from 30 September to 4 October in Lecce, Italy. The annual EGI conference brings together diverse stakeholders from the broad scientific and data-intensive computing domain. The event is the perfect place to share results, ideas and trends on technical, policy and business perspectives, advancing the field of big data science for academia and industry.
The call for Abstracts is now open, with a deadline of 25 April 2024.
Different types of contributions are welcome, such as short (10 min.) and long (20 min.) talks, posters and demonstrations on one of the following topics:
- Needs and solutions in scientific computing.
- Data innovations.
- Environmental informatics.
- Trust and security.
- EOSC Developments and Open Science.
Submit your proposal for EGI2024 here.
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Use Case: Offering Data to Service Providers with DataSpaces
“The smart use of data can have a transformative effect on all sectors of the economy”, states the European Commission in the Building a data economy – Brochure. That is why the European Commission has set out the European Data Strategy. A roadmap to make the EU a leader in the new data-driven society, with the creation of common and interoperable data spaces. Facilitating the deployment and smooth functioning of European Common Data Spaces is one of the key objectives of DATAMITE. Both through its innovative modular, open source and multi-domain framework to improve, among other things, data exchange; and through the different pilots in which this framework will be developed, tested and validated.
In Pilot 3, HEDNO’s aim is twofold: firstly, to embark on a journey to revolutionize its internal data management practices, and secondly, by embracing the concept of Data Spaces, to facilitate data exchange with its valued providers. This initiative underscores HEDNO's commitment to fostering a data-driven culture and optimizing operational efficiency. Central to this endeavor is the validation of robust data governance and quality tools, ensuring that data remains accurate, reliable, and compliant throughout its lifecycle.
Offering Data to Service Providers through Energy DataSpaces Use Case: a unique opportunity to test the DATAMITE framework
To be able to measure the value offered by the DATAMITE framework it is ideal to be tested over an actual use case that consists of data sharing to DataSpaces and will be validated by publishing data in Energy DataSpaces like, potentially, those provided by DATA CELLAR.
Currently, HEDNO ensures the availability and statistical analysis of metering data while safeguarding consumers' personal information. Using Advanced Metering Infrastructure (AMI) and Meter Data Management (MDM) systems, HEDNO collects energy measurements. However, sharing data with service providers remains a manual and complex process. Automation necessitates improving data discovery and management, standardizing data formats, ensuring compliance with laws and regulations, and establishing data access control policies. This lack of automation complicates data sharing and limits monetization or collaboration opportunities such as the exploitation or engagement of data markets or data spaces.
The DATAMITE framework: a vital component for data sharing though DataSpaces
DATAMITE will facilitate the automation of data sharing through its different modules. First, with Governance tools, facilitating Findability, Accessibility and Interoperability to data, allowing the definition of new vocabularies or adoption of existing ones to better tag its data. Second, the Quality Module will ensure that data meets sufficient quality criteria to be shared with third parties. Third, with Security tools, defining fine-grained access and authorization policies, and facilitating anonymization, privacy preservation or encryption processes. Fourth, with the Data Sovereignty component and IDSA components, e.g., EDC connector, integrated in the sharing module, allows the definition and enforcement of precise terms of use as well as sharing them to IDSA compliant DataSpaces.
Impacts beyond the use-case scenario
The developed pilot adopts a modular architecture featuring DATAMITE modules, aiming to combine artifacts from various energy data sources into datasets and converting them to cohesive data products. Through data spaces, this aggregated data will be shared with service providers, facilitating monetization or reciprocal service exchange.
Aligned with the project vision, the pilot endeavors to enhance data sharing processes through DATAMITE modules. Governance tools enhance data accessibility, while security measures ensure data integrity and sovereignty. Leveraging data spaces, stakeholders can effectively utilize energy data for various purposes fostering collaboration within the energy ecosystem. Moreover, our pilot’s architecture could find application and be extended to other domains.
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DATAMITE internal workshop - Exploitation Webinar
One of the great advantages of being such a large consortium of research and development partners, academic partners, large industrial partners, SMEs and a standards body, is to be able to learn from each other. In order to foster this continuous exchange of knowledge among the partners and thus acquire, as a Consortium as a whole, new skills to achieve the best project results in all fields, Antonis Sapountzis, leader of Work Package 6, hosted an internal webinar on exploitation.
Exploitation, included in Work Package 6: Outreach, Exploitation and Collaboration, is the key to achieving wider impacts of DATAMITE in the longer term (5 years or more) on the scientific community, the economy and society.
As an ambitious open source project, DATAMITE has a clear path for the exploitation of its results designed by AUSTRALO, DATAMITE's partner in charge of the Dissemination, Exploitation and Communication plans. The project's exploitation plan is based on three main exploitation models:
- The commercial exploitation model, which involves the paid, open-access provision of project results to end-users.
- The research exploitation model, which involves the use of acquired research knowledge in future research activities.
- The technology exploitation model, which involves the use of acquired technological knowledge for the development of innovative products and their supply.
Internal workshops such as this one allow the consortium to acquire the necessary skills to ensure not only immediate success, but also in the medium and long term, where DATAMITE aims to be a major player in the European data market revolution.
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Call for papers: eSAAM 2024 on Data Spaces
The 4th Eclipse Security, Artificial Intelligence, Architecture, and Modelling (eSAAM) Conference on DATA SPACES will take place 22 October in Mainz, Germany. This event is organised by Instituto Tecnológico de Informática (ITI), the coordinator of DATAMITE, along with the Centre for Research & Technology Hellas (CERTH), the Eclipse Foundation, and the University of Macedonia. The conference will bring together industry experts and researchers working on innovative software and systems solutions for data spaces.
The eSAAM 2024 on Data Spaces conference is an excellent platform for researchers to showcase their work to stakeholders from industry, standards bodies and open source initiatives, driving the evolution of data spaces. To this end, a call for papers has been launched with a submission deadline of 12 May.
This conference encourages submissions that report on constructive, design-oriented research on innovative artefacts, such as software, models, and methods related to the conference theme. The conference is focused on, but not limited to, the following topics of interest:
- Data Space Security and Privacy.
- Data Space Architecture.
- AI and Machine Learning in Data Spaces.
- Modelling for Data Space Systems.
More information about the conference and the rules of presentation here.
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