Navigating taxonomic complexity: A use-case report on FAIR scientific name-matching service usage in ENVRI Research Infrastructures

Sharif Islam, Dario Papale, Lucia Vaira, Ilaria Rosati, Johannes Peterseil, Christian Pichot
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Abstract

This paper presents a use-case conducted within the ENVRI FAIR project, examining challenges and opportunities in deploying FAIR-aligned (ensuring Findability, Accessibility, Interoperability and Reusability) scientific name-matching services across Environmental Research Infrastructures (RIs). Six services were tested using various name variations, revealing inconsistencies in match types, status reporting and handling of canonical forms and typos. These diversities pose challenges for RI data pipelines and interoperability. The paper underscores the importance of standardised tools, enhanced communication, training, collaboration and shared resources. Addressing these needs can facilitate more effective FAIR implementation within the ENVRI community and biodiversity research. This, in turn, will empower RIs to seamlessly integrate and leverage scientific names, unlocking the full potential of their data for research and policy implementation.
驾驭分类的复杂性:ENVRI 研究基础设施中 FAIR 科学名称匹配服务使用案例报告
本文介绍了 ENVRI FAIR 项目中的一个用例,探讨了在环境研究基础设施 (RI) 中部署与 FAIR 一致(确保可查找性、可访问性、互操作性和可重用性)的科学名称匹配服务所面临的挑战和机遇。使用各种名称变体对六种服务进行了测试,结果显示,在匹配类型、状态报告以及处理规范形式和错别字方面存在不一致。这些多样性给 RI 数据管道和互操作性带来了挑战。本文强调了标准化工具、加强沟通、培训、协作和共享资源的重要性。满足这些需求有助于在 ENVRI 社区和生物多样性研究中更有效地实施 FAIR。这反过来又将增强区域机构无缝整合和利用科学名称的能力,释放其数据在研究和政策实施方面的全部潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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