全球生物多样性研究的FAIR数字目标框架评估

Sharif Islam, James Beach, Elizabeth R. Ellwood, Jose Fortes, Larry Lannom, Gil Nelson, Beth Plale
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引用次数: 0

摘要

在21世纪的头几十年里,自然历史博物馆和研究机构的数据数字化和调动已经成为一种全球趋势。以数据标准为重点的国家和国际聚合系统的发展,使访问数百万个博物馆标本记录成为可能。这些记录为各个领域的研究提供了经验基础。此外,社区的努力扩大了自然历史收集标本的概念,包括物理准备和数字资源,从而产生了数字扩展标本(DES),其中还包括衍生和相关数据。在此背景下,本文建议使用FAIR数字对象(FDO)框架来加速DES的全球愿景,认为FDO支持的基础设施可以减少发现和获取标本的障碍,有助于确保将信用返还给贡献者,并增加纳入生物多样性数据的研究数量。
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Assessing the FAIR Digital Object Framework for Global Biodiversity Research
In the first decades of the 21 st century, there has been a global trend towards digitisation and the mobilisation of data from natural history museums and research institutions. The development of national and international aggregator systems, which focused on data standards, made it possible to access millions of museum specimen records. These records serve as an empirical foundation for research across various fields. In addition, community efforts have expanded the concept of natural history collection specimens to include physical preparations and digital resources, resulting in the Digital Extended Specimen (DES), which also includes derived and related data. Within this context, the paper proposes using the FAIR Digital Object (FDO) framework to accelerate the global vision of the DES, arguing that FDO-enabled infrastructures can reduce barriers to the discovery and access of specimens, help ensure credit back to contributors and increase the amount of research that incorporates biodiversity data.
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