系统发育研究中数据共享的最佳实践。
Best practices for data sharing in phylogenetic research.
作者信息
Cranston Karen, Harmon Luke J, O'Leary Maureen A, Lisle Curtis
机构信息
National Evolutionary Synthesis Center, Duke University, Durham, North Carolina, USA.
Department of Biological Sciences, University of Idaho, Moscow, Idaho, USA.
出版信息
PLoS Curr. 2014 Jun 19;6:ecurrents.tol.bf01eff4a6b60ca4825c69293dc59645. doi: 10.1371/currents.tol.bf01eff4a6b60ca4825c69293dc59645.
Abstract
As phylogenetic data becomes increasingly available, along with associated data on species' genomes, traits, and geographic distributions, the need to ensure data availability and reuse become more and more acute. In this paper, we provide ten "simple rules" that we view as best practices for data sharing in phylogenetic research. These rules will help lead towards a future phylogenetics where data can easily be archived, shared, reused, and repurposed across a wide variety of projects.
摘要
随着系统发育数据以及物种基因组、性状和地理分布的相关数据越来越容易获取，确保数据的可用性和再利用的需求变得越来越迫切。在本文中，我们提供了十条“简单规则”，我们将其视为系统发育研究中数据共享的最佳实践。这些规则将有助于引领未来的系统发育学发展，使数据能够在各种项目中轻松存档、共享、再利用和重新利用。
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