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FAIR-EuMon:一个助力生物多样性监测计划实现FAIR原则的资源。

FAIR-EuMon: a FAIR-enabling resource for biodiversity monitoring schemes.

作者信息

Menger Juliana, Magagna Barbara, Henle Klaus, Harpke Alexander, Frenzel Mark, Rick Johannes, Wiltshire Karen, Grimm-Seyfarth Annegret

机构信息

Helmholtz Centre for Environmental Research - UFZ, Department of Conservation Biology and Social-Ecological Systems, Leipzig, Germany Helmholtz Centre for Environmental Research - UFZ, Department of Conservation Biology and Social-Ecological Systems Leipzig Germany.

Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Wattenmeerstation Sylt, Sylt, Germany Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Wattenmeerstation Sylt Sylt Germany.

出版信息

Biodivers Data J. 2024 Aug 1;12:e125132. doi: 10.3897/BDJ.12.e125132. eCollection 2024.

Abstract

BACKGROUND

Within the scope of the Helmholtz Metadata Collaboration (HMC), the ADVANCE project - Advanced metadata standards for biodiversity survey and monitoring data: supporting of research and conservation - aimed at supporting rich metadata generation with interoperable metadata standards and semantic artefacts that facilitate data access, integration and reuse across terrestrial, freshwater and marine realms. HMC's mission is to facilitate the discovery, access, machine-readability, and reuse of research data across and beyond the Helmholtz Association.

NEW INFORMATION

We revised, adapted and expanded existing metadata schemas, vocabularies and thesauri to build a FAIR metadata schema and a metadata entry form built on it for users to provide their metadata instances focused on biodiversity monitoring data. The schema is FAIR because it is both machine-interpretable and follows domain-relevant community standards. This report provides a general overview of the project results and instructions on how to access, re-use and complete the metadata form.

摘要

背景

在亥姆霍兹元数据协作(HMC)的范围内,ADVANCE项目——生物多样性调查和监测数据的高级元数据标准:支持研究与保护——旨在通过可互操作的元数据标准和语义工件来支持丰富的元数据生成,从而促进跨陆地、淡水和海洋领域的数据访问、集成和重用。HMC的使命是促进亥姆霍兹协会内外研究数据的发现、访问、机器可读性和重用。

新信息

我们修订、调整并扩展了现有的元数据模式、词汇表和叙词表,以构建一个符合FAIR原则的元数据模式以及基于该模式的元数据录入表单,供用户提供专注于生物多样性监测数据的元数据实例。该模式符合FAIR原则,因为它既可以被机器解释,又遵循与领域相关的社区标准。本报告提供了项目成果的概述以及关于如何访问、重新使用和填写元数据表单的说明。

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本文引用的文献

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PeerJ Comput Sci. 2021 Mar 8;7:e387. doi: 10.7717/peerj-cs.387. eCollection 2021.
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