Introducing通过生物多样性数据平台发布dna衍生事件数据的指南

R. H. Nilsson, Anders F. Andersson, A. Bissett, A. Finstad, F. Fossøy, M. Grosjean, M. Hope, T. Jeppesen, U. Kõljalg, D. Lundin, M. Prager, S. Suominen, C. Svenningsen, D. Schigel
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引用次数: 3

摘要

环境和其他生物样本的DNA测序工作揭示了我们在生物世界的分类学、生态学和地理分布方面取得进展的前所未有的和很大程度上尚未开发的机会。为了实现这一潜力,dna衍生的发生数据(特别是带有日期和坐标的序列)——就像传统的标本和观测一样——需要通过生物多样性数据平台被发现和解释。全球生物多样性信息设施(GBIF)最近领导了一项社区努力,以汇编一套发布dna来源数据的指南。这些准则的目标是在更广泛的生物多样性数据背景下暴露dna来源的发生数据的原则和方法。它们涵盖了使用受控词汇表的术语选择、常见缺陷和良好实践,但没有涉及特定于平台的细节。我们的希望是,它们将使任何对通过包括国家生物多样性门户网站在内的一般生物多样性数据平台更好地暴露dna衍生事件数据感兴趣的人受益。本文简要介绍了准则的基本原理和概述,其最新版本保存在https://doi.org/10.35035/doc-vf1a-nr22。随着新技术和最佳实践的出现,鼓励用户反馈和交互。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introducing guidelines for publishing DNA-derived occurrence data through biodiversity data platforms
DNA sequencing efforts of environmental and other biological samples disclose unprecedented and largely untapped opportunities for advances in the taxonomy, ecology, and geographical distributions of our living world. To realise this potential, DNA-derived occurrence data (notably sequences with dates and coordinates) – much like traditional specimens and observations – need to be discoverable and interpretable through biodiversity data platforms. The Global Biodiversity Information Facility (GBIF) recently headed a community effort to assemble a set of guidelines for publishing DNA-derived data. These guidelines target the principles and approaches of exposing DNA-derived occurrence data in the context of broader biodiversity data. They cover a choice of terms using a controlled vocabulary, common pitfalls, and good practices, without going into platform-specific details. Our hope is that they will benefit anyone interested in better exposure of DNA-derived occurrence data through general biodiversity data platforms, including national biodiversity portals. This paper provides a brief rationale and an overview of the guidelines, an up-to-date version of which is maintained at https://doi.org/10.35035/doc-vf1a-nr22. User feedback and interaction are encouraged as new techniques and best practices emerge.
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来源期刊
Metabarcoding and Metagenomics
Metabarcoding and Metagenomics Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
5.40
自引率
0.00%
发文量
25
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