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

共享研究数据的承诺好处在于能够重复使用数据。虽然许多科学学科开始共享数据，但也有其他学科在可以共享的数据和共享对象方面受到限制。越来越多的跨学科研究和跨机构科学合作是在来自多个资金来源、具有不同限制和政策的数据集上进行的，这些数据集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高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变得必要。开放科学链-完整性服务(OSC-IS)通过应用区块链技术原语来加强网络安全控制，以保护研究平台和中心上公共和私人数据资产的完整性和来源。对于私有数据资产，还需要考虑机密性，这可能会延伸到元数据中的字段。OSC-IS利用智能合同和离链存储相结合的方式，确保在协作研究中共享私人研究数据时的数据机密性和隐私。该项目为数据驱动的研究平台和中心创建了基于API的数据完整性验证管理服务，将减少数据信息损失，并为管理各种元数据标准和访问控制提供支持。该项目提高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向广泛的不同领域提供信息，包括数据管理方面的最佳实践，展示区块链在学术研究中的使用，以及将计算机安全纳入教育。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.