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

Summary
PISTIS 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. Taking into consideration the data supply and demand perspectives, PISTIS will establish the methodological and technical foundations across different axes:
-PISTIS Federated Data Management, Interoperability & Governance that aims at collecting, curating, securing and fully controlling the data made available through each organisation’s data space.
-PISTIS Federated, Secure Data Sharing that concerns the effective management and on-chain storage of (multi-party) data contracts in an inherently human-understandable manner, as well as the secure peer-to-peer data transfer and usage monitoring mechanisms for appropriately retrieving, provisioning, self-serving on-demand and tracking the appropriate data ‘slices’ according to the relevant contract provisions.
-PISTIS Data Valuation and Monetisation to systematically articulate and recommend an appropriate target value, indicatively taking into consideration the “cost” approach, the “income” approach, and the “market” approach.
-PISTIS Data Sharing Skills Cultivation that provides the training material to educate stakeholders into how they can assess their data sharing maturity, proceed with data, deploy/operate the PISTIS technologies and implement an effective and sustainable data sharing strategy.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101093016
Start date: 01-01-2023
End date: 30-06-2026
Total budget - Public funding: 14 932 957,50 Euro - 11 945 613,00 Euro
Cordis data

Original description

PISTIS 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. Taking into consideration the data supply and demand perspectives, PISTIS will establish the methodological and technical foundations across different axes:
-PISTIS Federated Data Management, Interoperability & Governance that aims at collecting, curating, securing and fully controlling the data made available through each organisation’s data space.
-PISTIS Federated, Secure Data Sharing that concerns the effective management and on-chain storage of (multi-party) data contracts in an inherently human-understandable manner, as well as the secure peer-to-peer data transfer and usage monitoring mechanisms for appropriately retrieving, provisioning, self-serving on-demand and tracking the appropriate data ‘slices’ according to the relevant contract provisions.
-PISTIS Data Valuation and Monetisation to systematically articulate and recommend an appropriate target value, indicatively taking into consideration the “cost” approach, the “income” approach, and the “market” approach.
-PISTIS Data Sharing Skills Cultivation that provides the training material to educate stakeholders into how they can assess their data sharing maturity, proceed with data, deploy/operate the PISTIS technologies and implement an effective and sustainable data sharing strategy.

Status

SIGNED

Call topic

HORIZON-CL4-2022-DATA-01-04

Update Date

09-02-2023
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Artificial Intelligence, Data and Robotics Partnership (ADR)
ADR Partnership Call 2022
HORIZON-CL4-2022-DATA-01-04 Technologies and solutions for data trading, monetizing, exchange and interoperability (AI, Data and Robotics Partnership) (IA)
Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.4 Digital, Industry and Space
HORIZON.2.4.7 Advanced Computing and Big Data
HORIZON-CL4-2022-DATA-01
HORIZON-CL4-2022-DATA-01-04 Technologies and solutions for data trading, monetizing, exchange and interoperability (AI, Data and Robotics Partnership) (IA)