About PISTIS

PISTIS (Promoting and Incentivising Federated, Trusted, and Fair Sharing and Trading of Interoperable Data Assets) is a Horizon Europe project funded by the European Commission. Its mission is to foster trusted, fair, and interoperable data sharing across sectors. To achieve this, the project is developing a reference platform for the sharing, trading, and monetisation of proprietary organizational data—ensuring secure and controlled exchange while unlocking the value of data-driven intelligence.

Meeting Objectives

The meeting offered partners the opportunity to present the PISTIS Beta platform alongside the three demonstrator hubs—Mobility and Urban Planning, Energy, and Automotive—on the first day. The second day was devoted to technical discussions, addressing several key developments: Data Quality Assessment, GDPR Checker, FAIR Data Valuation Services, IAM and eIDAS integration, the On/Off Platform Inspector (with emphasis on “off-platform” capabilities), the Distributed Query Engine, NFT functionalities, the Encryption/Decryption Engine, Searchable Encryption, and Catalogue GUI improvements.

In addition to these technical exchanges, the agenda also featured a review of the overall project status, progress updates from the demonstrator partners, lessons learned from the Alpha version evaluation and the resolution of open issues, planning for upcoming communication and dissemination activities, updates on the exploitation strategy, clarification of partner responsibilities and contributions, and core project management tasks.

VIRTUAL VEHICLE’s role in PISTIS

Within PISTIS, VIRTUAL VEHICLE is responsible for one of the three demonstrator applications: the automotive demonstrator. This demonstrator integrates data from multiple sources—such as connected vehicle data from project partner Caruso Dataplace and weather data from project partner UBIMET—to enable a cloud-based hazard warning system for drivers.

By analyzing a vehicle’s position, speed, and proximity to risk events—such as crashes, adverse weather conditions, frequent braking zones, or accident hotspots—the system delivers timely and contextual alerts. The ultimate goal is to enhance driver awareness and improve road safety through data-driven intelligence.