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

Digital, Industry & SpaceHORIZON-IAID: 101093216
EC Contribution
€85,871
Consortium Size
19 orgs
Start Year
2023
Summary

UPCAST 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. Our plugins will enable actors in the common European data spaces to design and deploy data exchange and trading operations guaranteeing (i) automatic negotiation of agreement terms, (ii) dynamic fair pricing, (ii) improved data-asset discovery, (iii) privacy, commercial and administrative confidentiality requirements, (iv) low environmental footprint, as well as ensuring compliance with (v) relevant legislation and (vi) ethical and responsibility guidelines. UPCAST will support the deployment of Common European data spaces by consolidating mature research in the areas of data management, privacy, monetisation, exchange and automated negotiation, considering efficiency for the environment as well as compliance with EU and national initiatives, AI regulations and ethical procedures. 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. UPCAST aims at engaging SMEs, administrations and citizens by providing a transferability framework, best practices and training to endow users in order to deploy the new technologies and maximise impact of the project.

Consortium (19)

Project Results (27)

Source: CORDIS, the EU research results database.

Publications (13)
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER
2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)· 2023DOI
Layegh, Amirhossein; Hossein Payberah, Amir; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail
White Paper on the Definition of Data Intermediation Services
· 2023
Bobev, Tervel and Dessers Vilte Kristina and Ducuing Charlotte and Fierens Michiel and Palumbo Andrea and Peeters Bert and Stähler Leander
Cloud storage cost: a taxonomy and survey
World Wide WebDOI
Akif Quddus Khan, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu
Cloud storage tier optimization through storage object classification
ComputingDOI
Akif Quddus Khan, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman & Ahmet Soylu
Consent Management in Data Workflows: A Graph Problem
Dorota Filipczuk, Enrico H Gerding, George Konstantinidis
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER
A.Layegh, A. Payberah, A. Soylu, D. Roman and M. Matskin (2023)
Data Marketplaces in the AI Economy.
George Konstantinidis, Luis-Daniel Ibáñez and Dumitru Roman
ForBackBench: From Database to Semantic Web mappings and back
Afnan Alhazmi, Jaime Salas Trejo and George Konstantinidis
Selling Decentralized Knowledge Graphs
Luis-Daniel Ibáñez, George Konstantinidis
SIGMOD Record
ACM SIGMOD Record, Volume 53, Issue 1DOI
Dorota Filipczuk, Enrico H Gerding, George Konstantinidis
Towards Cloud Storage Tier Optimization with Rule-based Classification
10th IFIP WG 6.12 European Conference, ESOCC 2023,DOI
A. Khan, N. Nikolov, M. Matskin, R. Prodan, C. Bussler, D. Roman, A. Soylu
Trust, Accountability, and Autonomy in Knowledge Graph-Based AI for Self-Determination
Transactions on Graph Data and Knowledge (TGDK)DOI
Luis-Daniel Ibáñez, John Domingue, Sabrina Kirrane, Oshani Seneviratne, Aisling Third, Maria-Esther Vidal
Wiki-based Prompts for Enhancing Relation Extraction using Language Models
ACM SIGCOMM Computer Communication ReviewDOI
Amirhossein Layegh, Amir H. Payberah, Ahmet Soylu, Dumitru Roman, and Mihhail Matskin
Deliverables (13)
Other Results (1)
Periodic Reporting for period 1 - UPCAST (Universal Platform Components for Safe Fair Interoperable Data Exchange, Monetisation and Trading)