基于区块链的农业科学数据溯源应用初探

Preliminary Study on the Traceability Application of Agricultural Science Data Based on Blockchain

农业科学数据是农业科学研究得以持续发展和科学技术不断创新的宝贵资源。农业科学数据溯源目的是为了实现数据的追溯,确保单个溯源记录真实性及记录顺序不会被修改。而区块链具备数据的防篡改、可追溯特性,两者的结合对于农业科学数据溯源具有重要作用。科学数据标识技术将在互联网环境下为科学数据提供便利的访问途径,确保数据溯源信息互联互通,实现对数据全生命周期的跟踪与溯源。针对农业科学数据溯源和标识问题,本文提出了基于区块链的农业科学数据溯源应用方案,通过区块链技术记录数据集的变化和演变过程,在数据使用过程中,可以根据溯源链通过数据标识解析技术对科学数据进行快速寻址定位,并利用科学数据的签名信息检验数据集是否正确。农业科学数据集溯源信息存储到区块链上后,其他节点可从区块链上获取溯源对象的记录信息,进行溯源数据的真实性验证,为广泛的研究人员提供有效地共享和验证科学数据的解决方案。最后本文通过使用科学数据存储库中数据集更新及版本变化过程记录进行了试验验证。

Agricultural scientific data are a valuable resource for advancing both agricultural scientific research and continuous science and technology innovation.The purpose of agricultural science data tracing is to ensure the authenticity and accuracy of individual records as they are shared,modified and reused.Blockchain features,assuring the immutability and provenance of data,can play an important role in the traceability of agricultural scientific data.Scientific data identification technology can provide convenient access to scientific data via the Internet,but it is important to also ensure the traceability of data throughout its life cycle.Blockchain features,assuring the immutability and provenance of data,can play an important role in the traceability of agricultural scientific data.This paper proposes a blockchain-based application for tracking the origin and subsequent uses of agricultural science data throughout the lifecycle of a dataset.Blockchain technology is used to record the changes and evolution of datasets legitimate access to datasets.In the process of data use,data can be passed according to the traceability chain.The identification analysis technology quickly locates scientific data and uses the signature information of the scientific data to verify whether the dataset is correct.After the agricultural science dataset traceability information is stored on the blockchain,other nodes can obtain the record information of the traceability object from the blockchain,verify the authenticity of the traceability data,and provide a wide range of researchers with an effective sharing and verification solution for scientific data.The paper describes an experimental setup using the dataset update and version change process records in the ScienceDB.