Scientific research, increasingly reliant on data and computational analysis, confronts the challenge of integrating collaboration and data sharing across disciplines. Collaborative frameworks that support decentralized decision-making and knowledge-sharing are essential, yet integrating them into computational environments presents technical challenges, such as decentralized identity, user-centered policy-making, flexible asset management, automated provenance, and distributed collaborative workflow management. In this work, we propose a novel framework called Decentralized Virtual Research Environment (D-VRE) that addresses barriers to scientific research collaboration and data sharing, offering a scalable and adaptable decentralized model. It enhances seamless, trusted data sharing and collaboration within research lifecycles. It incorporates custom sharing policies, secure asset management, collaborative workflows, and research activity tracking, all without centralized oversight. Demonstrated through a real-world case study in the CLARIFY project, D-VRE proved effective in enabling advanced data sharing and collaborative scenarios, showcasing its adaptability in scientific research. Integrated into JupyterLab, D-VRE supports custom collaboration agreements and smart contract-based automated execution on the Ethereum blockchain. This ensures secure, verifiable transactions and promotes trust and reliability in shared research findings.

翻译：随着科学研究日益依赖数据与计算分析，跨学科协作与数据共享的整合面临严峻挑战。支持去中心化决策与知识共享的协作框架至关重要，然而将其融入计算环境仍存在诸多技术难题，例如去中心化身份认证、以用户为中心的政策制定、灵活资产管理、自动化溯源以及分布式协作工作流管理等。本研究提出一种名为去中心化虚拟研究环境（D-VRE）的创新框架，旨在突破科研协作与数据共享的壁垒，提供可扩展且适应性强的去中心化模型。该框架通过增强研究生命周期内无缝、可信的数据共享与协作机制，整合了定制化共享策略、安全资产管理、协作工作流及研究活动追踪功能，且无需中心化监管。通过在CLARIFY项目中的实际案例验证，D-VRE在实现高级数据共享与复杂协作场景方面展现出显著成效，体现了其在科学研究中的强大适应性。该框架已集成至JupyterLab平台，支持基于以太坊区块链的自定义协作协议与智能合约自动化执行，从而确保安全可验证的交易过程，并提升共享研究成果的可信度与可靠性。