A Research on the Sharing Platform of Wild Bird Data in Yunnan Province Based on Blockchain and Interstellar File System

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 18; p. 6961
• Main Authors: Yang, Huaiyuan, Li, Yucheng, Zhou, Hua, Zhao, Yili, Song, Lei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2022; MDPI
• Subjects: Access control; Algorithms; Big Data; bird big data; Birds; Blockchain; Cloud computing; Computer architecture; Data encryption; data sharing; Data storage; Data systems; Digital signatures; Information sharing; interplanetary file system; Interstellar; Open data; Peer to peer computing; Privacy; Protocol; Research facilities; China; Yunnan China
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s22186961

Sharing scientific data is an effective means to rationally exploit scientific data and is vital to promote the development of the industrial chain and improve the level of science and technology. In recent years, the popularity of the open data platform has increased, but problems remain, including imperfect system architecture, unsound privacy and security, and non-standardized interaction data. To address these problems, the blockchain’s decentralization, smart contracts, distributed storage, and other features can be used as the core technology for open data systems. This paper addresses the problems of opening, allocation-right confirmation, sharing, and rational use of wild-bird data from Yunnan Province, China. A data storage model is proposed based on the blockchain and interstellar file system and is applied to wild-bird data to overcome the mutual distrust between ornithology institutions in the collaborative processing and data storage of bird data. The model provides secure storage and secure access control of bird data in the cloud, thereby ensuring the decentralized and secure storage of wild-bird data for multiple research institutions.