Ostracods in databases: State of the art, mobilization and future applications
Ostracods in databases: State of the art, mobilization and future applications
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DOI：
10.1016/j.marmicro.2022.102094
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发表时间：
2022-06-06
影响因子：
1.9
通讯作者：
Brandao, Simone N.
中科院分区：
文献类型：
--
作者：
Huang, Huai-Hsuan M.;Yasuhara, Moriaki;Brandao, Simone N.
在开放科学时代，生物多样性数据库正在改变数据的寿命。它们还代表着在分析超出当地项目或时间尺度的大规模(古)生物模式方面的合作机会。介形类是微型甲壳类动物，是许多生物多样性数据库的组成部分。它们今天生活在大多数种类的水生环境中，它们的化石记录几乎涵盖了从奥陶纪到全新世地球后生动物生物圈的整个历史。因此，介形类为理解大规模生物多样性格局和动态在空间和时间上提供了一个理想的模式系统。多亏了许多贡献者，现在和未来的介形动物学家都可以访问经过多次改进并由许多数据集填充的数据库。然而，数据库的快速增长在用户中造成了对现有数据、技术术语和数据库目标的困惑。我们回顾了包括介形类在内的主要数据库，总结了它们的发展历史、当前的空间和时间覆盖范围、各种类型的数据模型以及数据库之间的相互交织的关系。基于古生物学数据库，对介形类多样性历史进行了定量总结。我们的研究表明，数据库领域正在从传统的单一关注向多功能过渡，从静态数据显示/下载向动态数据显示/下载过渡，从独立系统向协同网络过渡。我们比较了几个数据库处理长期挑战的方式，例如分类学的协调、原始采样元数据的验证和古地方性的不确定性。随着数据整合能力的增强，数据库仍然需要在高质量的数据输入以及科学家和技术小组之间的仔细协调方面作出巨大努力。
Biodiversity databases are changing the longevity of data in the era of open science. They also represent a collaboration opportunity in analyzing large-scale (paleo)biological patterns beyond a local project or a time scale. Ostracods, microscopic crustaceans, are a component in many biodiversity databases. They live in most kinds of aquatic environments today and their fossil record spans nearly the whole of the Earth's metazoan biosphere history from Ordovician to Holocene. Thus, ostracods provide an ideal model system for understanding large-scale biodiversity patterns and dynamics in both space and time. Thanks to many contributors, current and future ostracodologists have access to databases that have gone through numerous improvements and have been populated by many datasets. However, rapid growth of databases has caused confusion among users regarding available data, technical terms and database aims. We review key databases that include ostracods, summarizing their history of development, current spatial and temporal coverage, various types of data models and the intertwined relationships between databases. We also present a quantitative summary of ostracod diversity history based on the Paleobiology Database. Our investigations show that the database field is transitioning from the traditional single focus to multipurpose, from static to dynamic data display/download and from independent systems to collaborative networks. We compare the ways several databases approach persistent challenges such as taxonomic harmonization, validation of the original sampling metadata and paleolocality uncertainties. With increasing capability of data integration, databases continue to require enormous efforts regarding highquality data entry and careful coordination among scientists and technical teams.