在数据驱动的时代，环境研究的数据完整性至关重要。然而，数据泄露问题一直是个难题，并且缺乏有效的技术解决方案。为了解决这一问题，研究人员开发了基于区块链的全流程环境数据管理系统（BSDMS）。BSDMS利用加密算法，保证了环境研究过程中数据的不可更改性和可追溯性。它采用了特定项目的有限分布式存储模型，在保障数据安全的同时，还能保护未公开环境数据的机密性。该系统可以通过

http://www.bsdms.org

全球访问使用。研究人员通过数据传输、处理和存储这三个场景测试，验证了它在确保数据可追溯、防止篡改和抵御恶意攻击方面的有效性。此外，对179位研究人员的性能评估显示，它能为同行评审和发表提供可验证、防篡改的数据，提高了环境研究的透明度、可重复性和责任感，保障了环境科学研究中数据使用的监督和道德合规性。

期刊

Environmental Science & Technology

标题

Enhancing Data Integrity in Data-Driven Environmental Science Research through Blockchain Technology

作者

Xiangyu Li, Yuming Huang, Yifei Liu, Huixuan Yi, Linqian Li, Yuehan Wu, Xiao Zhang, Xuezhi Yang, Yongfeng Lin,Dawei Lu, Guibin Jiang

摘要

Ensuring data integrity is crucial for environmental research, particularly in the data-driven era, yet breaches remain a persistent challenge, and effective technical solutions are still lacking. To address this, we have developed a customized blockchain-based full-process environmental data management system (BSDMS) tailored to environmental data integrity needs. By leveraging encryption algorithms, BSDMS ensures data immutability and traceability throughout the research process. The system is publicly accessible at http://www.bsdms.org for global use. Unlike conventional blockchain systems, BSDMS employs a project-specific, limited distributed storage model that balances data security and the confidentiality of unpublished environmental data. We validated its effectiveness through three scenario tests─data transmission, processing, and storage─demonstrating its ability to ensure traceability, prevent tampering, and resist malicious attacks in environmental science. Additionally, performance evaluations across 179 researchers highlight its potential for providing verifiable, tamper-proof data for peer review and publication. Overall, BSDMS enhances transparency, reproducibility, and accountability in environmental research, ensuring the oversight and ethical compliance of data usage in environmental science research.

原文链接

https://pubs.acs.org/doi/10.1021/acs.est.5c03461

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