Promoting and Incentivising Federated, Trusted, and Fair Sharing and Trading of Interoperable Data Assets

PISTIS提出了一个参考联合数据共享/交易和货币化平台，用于安全、可信和受控地交换和使用专有数据资产和数据驱动的情报。PISTIS将推进现有的技术和技术，如联合数据发现和共享、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。这些利益相关者将构建一个由PISTIS带来的内置治理的现有和新数据空间的分布式网络，以消除孤岛，同时以公平和透明的方式积累实际数据价值并通过衍生资产实现成倍增长。考虑到数据供应和需求的角度，PISTIS将在不同的轴线上建立方法和技术基础：-PISTIS联合数据管理、互操作性和治理，旨在收集、管理、保护和完全控制通过每个组织的数据空间提供的数据。-PISTIS联合、安全的数据共享，涉及以人类本身可以理解的方式对(多方)数据合同进行有效管理和链上存储，以及安全的对等数据传输和使用情况监测机制，用于根据相关合同条款适当地检索、供应、按需自助服务和跟踪适当的数据“切片”。-PISTIS数据估值和货币化，系统地阐述和建议适当的目标值，指示性地考虑到“成本”法、“收益”法和“市场”法。-PISTIS数据共享技能培训，提供培训材料，教育利益攸关方如何评估其数据共享成熟度，着手处理数据，部署/操作PISTIS技术，并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.