1.Wuhan Library, Chinese Academy of Sciences; 2.Wuhan Regional Center, China Science and Technology Cloud; 3.Hubei Key Laboratory of BigData in Science and Technology; 4.School of Economics and Management, University of Chinese Academy of Sciences
Abstract： In response to the common issue of insufficient security in current scientific data management, this paper attempts to explore and propose a set of scientific data protection and sharing architecture methods based on the master-slave multi-chain theory. This paper proposes a scientific data protection and sharing method based on the master-slave multi-chain concept. This method utilizes multiple smart contracts, digital signatures, and the InterPlanetary File System (IPFS) technology, combined with the grading and classification of scientific data and identity authentication to achieve fine-grained management; it adopts a master-slave multi-chain combination to ensure data security and scalability.The empirical research results show that this method significantly outperforms public blockchain solutions in terms of storage overhead, with approximately a threefold improvement in performance. It also demonstrates greater stability and reliability when processing large volumes of transactions. In conclusion, this method possesses key characteristics such as decentralization, security, and immutability, making it highly effective in addressing the growing demand for scientific data protection and sharing.
Key words : blockchain;scientific experimental data;data security;smart contract;access control
