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 f\"ur 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.

中文翻译：

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仪器的持久识别

仪器在创建研究数据方面发挥着重要作用。鉴于仪器和相关元数据对评估数据质量和数据重用的重要性，全球唯一、持久和可解析的仪器标识至关重要。研究数据联盟工作组持久识别仪器 (PIDINST) 开发了一个社区驱动的解决方案，用于我们在本文中介绍和讨论的仪器持久识别。基于对 10 个用例的分析，PIDINST 使用 DataCite 和 ePIC 作为代表性的持久标识符基础设施以及 HZB（Helmholtz-Zentrum Berlin f\"ur Materialien und Energie）和 BODC（英国海洋数据中心）开发了元数据模式和原型模式实现) 作为代表性的机构工具提供者。这些实现证明了所提议的解决方案在实践中的可行性。展望未来，PIDINST 将通过解决新的利益相关者要求进一步促进采用和整合模式。