实现物理样本的全球唯一标识:IGSN全球样本编号的治理和技术实施

Q2 Computer Science
J. Klump, K. Lehnert, D. Ulbricht, A. Devaraju, K. Elger, D. Fleischer, S. Ramdeen, L. Wyborn
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引用次数: 9

摘要

持久唯一标识符(PID)是数字研究数据基础设施中的一个关键元素,用于明确识别、定位和引用越来越多实体的数字表示,包括出版物、数据、仪器、组织、基金奖励、实地项目等。IGSN是作为国际地理样本编号开发的,为物理样本提供一个持久的、全球唯一的、网络可解析的标识符。IGSN既是一个治理系统,也是一个技术系统,用于为物理样本分配全局唯一的持久标识符。尽管最初是为地球科学中的样本开发的,但IGSN的应用可以并且已经扩展到依赖物理样本和收集的其他领域。本文描述了IGSN的当前体系结构和技术实现,IGSN如何与其他示例标识符相关,以及其技术系统如何得到国际治理结构的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Globally Unique Identification of Physical Samples: Governance and Technical Implementation of the IGSN Global Sample Number
Persistent unique identifiers (PID) are a critical element in digital research data infrastructure to unambiguously identify, locate, and cite digital representations of a growing range of entities – publications, data, instruments, organizations, funding awards, field programs, and others. The IGSN was developed as the International Geo Sample Number to provide a persistent, globally unique, web resolvable identifier for physical samples. IGSN is both a governance and technical system for assigning globally unique persistent identifiers to physical samples. Even though initially developed for samples in the geosciences, the application of IGSN can be and has already been expanded to other domains that rely on physical samples and collections. This paper describes the current architecture and technical implementation of IGSN, how IGSN relates to other sample identifiers, and how its technical systems are supported by an international governance structure.
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来源期刊
Data Science Journal
Data Science Journal Computer Science-Computer Science (miscellaneous)
CiteScore
5.40
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.
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