CICI: UCSS: Enhancing Integrity and Confidentiality for Secure Distributed Data Sharing

研究数据共享的好处在于能够重用数据。虽然许多科学学科开始共享数据，但也有一些学科在可以共享的数据和可以与谁共享方面受到限制。越来越多的跨学科研究和跨机构科学合作是在数据集上进行的，这些数据集来自多个资金来源，具有不同的约束和政策，存储在需要特定元数据标准和格式的存储库中，并受到访问限制。提供一种安全的方法来有效地共享和验证数据和元数据，同时保持隐私限制，对于科学数据的重用是必要的。开放科学链-完整性服务（OSC-IS）通过应用b区块链技术原语来加强网络安全控制，以保持研究平台和中心上公共和私有数据资产的完整性和来源。对于私有数据资产，存在额外的机密性考虑，这可能扩展到元数据中的字段。OSC-IS利用智能合约和链下存储的组合，确保在合作研究中共享私人研究数据时的数据保密性和隐私性。该项目为数据驱动的研究平台和中心创建了一个基于api的数据完整性验证管理服务，这将减少数据信息的丢失，并为管理各种元数据标准和访问控制提供支持。该项目增强了科学数据共享的安全性和可信度，从而增加了科学界对数据集的探索和利用。OSC-IS提供了一系列不同领域的信息，包括数据管理的最佳实践、展示区块链在学术研究中的应用，以及将计算机安全纳入教育。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The promised benefit of research data sharing lies in the ability to reuse the data. While many scientific disciplines are starting to share data, there are others who are restricted in the data they can share and with whom they can share. More and more interdisciplinary research and cross-institutional science collaborations are conducted on datasets that result from multiple funding sources with different constraints and policies and are stored in repositories that require specific metadata standards and formats and are subject to access restrictions. Providing a secure method to efficiently share and verify the data and metadata while maintaining privacy restrictions becomes necessary for the reuse of the scientific data.The Open Science Chain – Integrity Services (OSC-IS) strengthens cybersecurity controls with the application of blockchain technology primitives to preserve the integrity and the provenance of public and private data assets on research platforms and hubs. For private data assets, additional consideration of confidentiality exists, which may extend to fields in metadata. OSC-IS leverages a combination of smart contracts and off-chain storage to ensure the data confidentiality and privacy in sharing private research data in collaborative research. The project creates an API-based data integrity verification management service for data-driven research platforms and hubs that will reduce data information loss and build support for managing various metadata standards and access controls. The project enhances the security and trustworthiness in scientific data sharing that leads to increased usage in exploration and utilization of datasets within scientific communities. OSC-IS informs a wide array of different areas, including best practices in data management, demonstrating the use of blockchain in academic research, and incorporating computer security in education.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.