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

PISTIS提出了一个参考的联合数据共享/交易和货币化平台，用于安全，可信和受控的专有数据资产和数据驱动智能的交换和使用。PISTIS将推进现有的技术和技术，如联邦数据发现和共享、dlt、数据不可替代令牌（nft）、人工智能驱动的数据质量评估和货币化，以在利益相关者之间建立信任并缓解他们的担忧。这些利益相关者将通过PISTIS带来的内置治理来制定现有和新数据空间的分布式网络，以消除孤岛，同时以公平透明的方式积累实际数据价值并通过衍生资产将其相乘。考虑到数据供应和需求的角度，PISTIS将在不同的轴上建立方法和技术基础：-PISTIS联邦数据管理，互操作性和治理，旨在收集，策划，保护和完全控制通过每个组织的数据空间提供的数据。-PISTIS联邦，安全数据共享，涉及以人类可理解的方式有效管理和（多方）数据合同的链上存储，以及安全的点对点数据传输和使用监控机制，以便根据相关合同条款适当检索，供应，按需自服务和跟踪适当的数据“切片”。-PISTIS数据评估和货币化，系统地阐明并建议适当的目标价值，指示性地考虑“成本”方法，“收入”方法和“市场”方法。-PISTIS数据共享技能培训，提供培训材料，教育利益相关者如何评估数据共享成熟度，处理数据，部署/操作PISTIS技术，实施有效和可持续的数据共享战略。

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.