调整标准社区的奥米克生物多样性数据:可持续的达尔文核心-MIxS互操作性
Raïssa Meyer1,2,3, Ward Appeltans4, William D Duncan5
1Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Reserach, Bremerhaven, Germany Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Reserach Bremerhaven Germany.
Biodiversity data journal
|October 13, 2023
概括
生物多样性和omics中的数据标准现在是可互操作的. 一个新的映射和扩展使任何 (x) 序列 (MIxS) 和达尔文核心 (DwC) 规范的最小信息之间的无数据交换成为可能,促进了协作.
科学领域:
- 生物信息学是一种生物信息学.
- 数据科学数据科学数据科学
- 基因组学就是基因组学.
- 生物多样性信息学 生物多样性信息学
背景情况:
- 生物多样性和omics研究社区使用不同的数据标准,阻碍了数据集成和协作.
- 关于任何 (x) 序列 (MIxS) 和达尔文核心 (DwC) 规范的最低信息之间缺乏互操作性限制了知识生成.
研究的目的:
- 促进MIxS和DWC标准之间的可持续互操作性.
- 为了促进生物多样性和omics数据之间的无数据交换和整合.
主要方法:
- 成立了一个可持续发展的DWC-MIxS互操作性工作组 (TG),由TDWG和GSC的专家组成.
- 使用简单的标准来共享 Ontology 映射 (SSSOM) 来将 DwC 键映射到 MIxS 键.
- 开发了MIxS-DwC扩展,用于将MIxS术语纳入DwC元数据.
主要成果:
- 创建了DWC和MIxS标准之间的全面映射.
- 允许将MIxS核心术语纳入符合DWC的元数据.
- 促进了MIxS和DWC格式之间的数据的高效中介.
结论:
- 开发的映射和扩展打破了生物多样性和omics社区之间的数据孤岛.
- 一份谅解备忘录 (MoU) 确保了TDWG和GSC标准的持续同步.
- 加强跨领域的数据共享和利用,打开了新的科学发现机会.
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