论文标题
持续识别仪器
Persistent Identification Of Instruments
论文作者
论文摘要
乐器在创建研究数据中起着至关重要的作用。鉴于仪器和相关元数据对数据质量和数据重用的评估的重要性，全球独特，持久和可分离的仪器识别至关重要。研究数据联盟工作组的持续识别工具（Pidinst）开发了一种社区驱动的解决方案，用于持续识别工具，我们在本文中提出和讨论。基于对10例用例的分析，Pidinst以数据属和Epic为代表性的持久标识符基础设施以及HZB（Helmholtz-Zentrum berllinfumberllinfürberlinienfür物质Enterien und Energie）和BODC（BODC（英国海洋学数据中心）作为代表性的Insterational Instrutional Instrutitional Instrutionals Proverityersers。这些实现证明了实践中提出的解决方案的生存能力。向前迈进，Pidinst将通过满足新的利益相关者要求来进一步催化采用并巩固该架构。
Instruments play an essential role in creating research data. Given the importance of instruments and associated metadata to the assessment of data quality and data reuse, globally unique, persistent and resolvable identification of instruments is crucial. The Research Data Alliance Working Group Persistent Identification of Instruments (PIDINST) developed a community-driven solution for persistent identification of instruments which we present and discuss in this paper. Based on an analysis of 10 use cases, PIDINST developed a metadata schema and prototyped schema implementation with DataCite and ePIC as representative persistent identifier infrastructures and with HZB (Helmholtz-Zentrum Berlin für Materialien und Energie) and BODC (British Oceanographic Data Centre) as representative institutional instrument providers. These implementations demonstrate the viability of the proposed solution in practice. Moving forward, PIDINST will further catalyse adoption and consolidate the schema by addressing new stakeholder requirements.
