Innovative Application of Scientific Data Identification Based on Block Chain

doi:10.11871/jfdc.issn.2096-742X.2019.02.006

Abstract

Abstract:

[Objective] By providing the multi-participation mechanism of gathering, processing, openness, sharing, publication, citing and reusing scientific data, the block-chain-based scientific data identification ensures the reliability and stability of correlated data with accesses-controllable information storage and authentication. Thus it can provide a trusted and valuable reference for scientific data research. [Coverage] Besides the key technical methods of block chain construction and the applications based on identification knowledge, the article also focuses on the international and domestic researches on identification protocols, system instances, citation statistic methods of scientific data as well as the researches on cross disciplinary areas correlated to identification and block chain. [Methods] This paper presents an identification block chain platform in the field of scientific data citation statistic. Based on the overall architecture of the platform, we expound the key technologies and platform tools for constructing identification block chain, and give specific application cases based on three participants which are identification center, scientific data center and publications. [Results] The identification block chain platform constructs a trusted certification service for the key point life-cycle management for scientific data, while providing a trusted, multi-source, stable and cross-field intelligent correlated service. [Limitations] The integrated innovation of identification and block chain technology is constantly developing. However, the quantity of peers in the identification block affects platform service ability in the range of applications. In the future, we hope to carry out more services by block-chain crossing. [Conclusions] The identification block chain for scientific data, with its transparent and trusted authentication mechanism, flexible accesses control and strong correlated query ability, can organize the trusted information storage of the massive data from cross-fields and multi-source in a better way, which provides auxiliary functions for future technology evaluation of scientific data.

Key words: scientific data, identification, block chain, data reference, identity registration

Wang Shu,Yan Min,Liu Jia,Zhou Qihui,Guo Zhibin,Wang Yazhe,Zhou Yuanchun. Innovative Application of Scientific Data Identification Based on Block Chain[J]. Frontiers of Data and Computing, 2019, 1(2): 62-74.

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标识体系	编码格式	主要应用领域	优点	缺点
DOI	10. <应用前缀>“/”<应用后缀>	期刊、文献等	应用较多	专利、元数据隐私、审批、收费高、实时性低。
PID	21. <应用前缀>“/”<应用后缀>	科技数据	集中在欧洲	专利、元数据隐私、审批。
CSTR	cstr: <注册机构代码><类型代码><内部标识符>	科学仪器、文献等	国家标准,元数据安全。	应用较少。

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