FAIR-EuMon:为生物多样性监测计划提供了一个Fair支持的资源
Juliana Menger1,2, Barbara Magagna3, Klaus Henle1
1Helmholtz 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.
Biodiversity data journal
|August 12, 2024
概括
在ADVANCE项目中,为生物多样性数据开发了一个FAIR元数据方案,以加强数据访问和重复使用. 这促进了研究和保护工作之间的互操作性.
科学领域:
- 生物多样性研究的研究.
- 环境科学环境科学
- 数据管理数据管理
背景情况:
- 赫尔姆霍尔茨元数据协作 (HMC) 旨在改善研究数据的发现,访问,机器可读性和重用.
- 该ADVANCE项目专注于生物多样性调查和监测数据的高级元数据标准.
研究的目的:
- 支持丰富的元数据生成生物多样性数据.
- 为了促进数据访问,集成和重复使用在不同的环境领域.
- 开发可互操作的元数据标准和语义文物.
主要方法:
- 对现有的元数据方案,词汇和词库的修订,调整和扩展.
- 开发一个FAIR元数据方案和一个用户友好的元数据输入表格.
- 专注于针对机器可解释性的相关领域的社区标准.
主要成果:
- 已经创建了一个针对生物多样性监测数据量身定制的FAIR元数据模式.
- 该方案确保机器可解释性和遵守社区标准.
- 用户可以使用元数据输入表格输入他们的数据实例.
结论:
- 开发的元数据方案增强了生物多样性数据的公平性.
- 这有助于改进数据共享,集成和在研究和保护中重复使用.
- 提供了访问和使用元数据表格的说明.
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