Start

01/01/2023

End

30/06/2026

Status

In progress

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

Website's Project

Start

01/01/2023

End

30/06/2026

Status

In progress

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

Website's Project

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:

  1. Federated Data Management, Interoperability & Governance that aims at collecting, curating, securing and fully controlling the data made available through each organisation’s data space.
  2. 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.
  3. 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.
  4. 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.