Promoting Federated and Trusted Sharing and Trading of Interoperable Data Assets and Data-Driven Intelligence – The PISTIS Platform
PISTIS is on the April 2023 issue of ERCIM News, the magazine of ERCIM, the European Research Consortium for Informatics and Mathematics. Published quarterly, it reports on joint actions of the ERCIM partners, and aims to reflect the contribution made by ERCIM to the European Community in Information
Technology and Applied Mathematics. Through short articles and news items, it provides a forum for the exchange of information between the institutes and also with the wider scientific community.
Special theme of the issue is “Data Infrastructures and Management”. Data infrastructures are critical for efficient handling of large-scale datasets in any domain, and they are required for industrial, commercial, scientific and policy-making purposes.
The last decade has witnessed an explosion in data infrastructures that are available from private and public organisations. We can also see bold initiatives by the European Commission to offer data infrastructures for scientific purposes (European Open Science Cloud, OpenAIRE, European Data Infrastructure etc.) and regulatory approaches to create common data spaces in the EU (e.g., Common European Health Data Space).
The development of data infrastructures poses multiple scientific, governance and social challenges that have attracted great interest from the scientific community but also from regulators.
Among the project that address these challenges, 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 (derivative data assets). In its effort to unleash the actual and still-untapped data potential, PISTIS will advance the currently available techniques and technologies, such as federated data discovery and sharing, distributed ledger technologies (DLT), data non-fungible tokens (NFTs), AI-driven data quality assessment and monetisation, to build trust among data providers, data owners and data consumers.
Read ERCIM News, PISTIS is the article no. 38.