TRUST AND PRIVACY PRESERVING COMPUTING PLATFORM FOR CROSS-BORDER FEDERATION OF DATA

由于我们生活在一个数据驱动的时代，跨学科、地理分散的数据存储库的出现是不可避免的。这些储存库不一定遵守现有的跨学科数据表示标准，也不一定属于任何数据联合倡议，这使得它们无法使用，因为研究人员不容易访问这些数据。此外，在大多数情况下，此类交互中的完整性、隐私和安全性要么很难维护，要么不可能维护。为此，受托人的目标是带来一个绿色、安全、值得信赖和隐私意识的框架，该框架将聚合各种跨学科的数据存储库，如医疗保健、教育、能源、空间、汽车、跨境等，并考虑其他欧洲数据联邦空间和跨国倡议，如GAIA-X和EOSC。受托人将提供安全的设计框架，其中存储的数据是同态加密的，从而为研究人员提供i)在加密域中搜索和使用数据的能力，ii)以公开和公平的方式对数据进行统一和有意义的公平表示，iii)通过高级本体进行复杂和上下文感知的查询，iv)通过直观的AI游乐场通过透明的可信ML工作流程进行数据处理和分析，这将通过利用最先进的方法和范例促进AI的易解性、互操作性和可重用性，v)符合欧洲隐私和道德框架，例如GDPR、PIA等，Vi)通过应用同态加密层来加强隐私，所有数据交互都将通过该加密层进行；vii)基于区块链的交易记录器，以确保问责。受托人的完全加密解决方案将通过支持Gaia-X、EOSC、EGI等的六个不同用例进行验证，展示一个多学科、泛欧洲联合的公平和私有数据生态系统。

As we live in a data-driven era, the emergence of interdisciplinary, geographically dispersed, data repositories, is inevitable. The fact that these repositories do not necessarily abide with existing interdisciplinary data representation standards, nor do they necessarily belong to any data federation initiative, renders them unusable, since researchers cannot easily access this data. Moreover, most of the times, integrity, privacy, and security in such interactions is either very difficult, or impossible to maintain. Towards this end, TRUSTEE aims to bring a green, secure, trustworthy, and privacy-aware framework that will aggregate various interdisciplinary data repositories, such as Healthcare, Education, Energy, Space, Automotive, Cross-border etc. and also consider other European data federation spaces and trans-national initiatives, such as Gaia-X and EOSC. TRUSTEE will offer a secure-by-design framework, wherein stored data is homomorphically encrypted, thus offering researchers i) ability to search and use data in the encrypted domain, ii) a unified and meaningful FAIR representation of data, in an open and fair manner, iii) complex and context-aware queriesthrough advanced ontologies, iv) data processing and analysis through transparent trustworthy ML workflows, over an intuitive AI playground, which will promote AI eXplainability, interoperability, and re-usability, by utilizing state of the art methods and paradigms, v) compliance with European privacy and ethical frameworks, e.g., GDPR, PIA, etc., vi) enforce privacy by applying a Homomorphic encryption layer, through which all data interaction will take place, vii) a blockchain-based transaction recorder to ensure accountability. TRUSTEE's fully encrypted solution will be validated through six different use cases supporting GAIA-X, EOSC, EGI, etc. demonstrating a multi-disciplinary, Pan European federated FAIR and private data ecosystem.