Molecular identification methods, such as DNA barcoding, rely on centralized databases populated with morphologically identified individuals and their referential nucleotide sequence records. As molecular identification approaches have expanded in use to fields such as food fraud, environmental surveys, and border surveillance, there is a need for diverse international data sets. Although central data repositories, like the Barcode of Life Datasystems (BOLD), provided workarounds for formatting data for upload, these workarounds can be taxing on researchers with few resources and limited funding. To address these concerns, we present the Molecular Data Organization for Publication (MDOP) R package to assist researchers in uploading data to public databases. To illustrate the use of these scripts, we use the BOLD system as an example. The main intent of this writing is to assist in the movement of data, from academic, governmental, and other institutional computer systems, to public locations. The movement of these data can then better contribute to the global DNA barcoding initiative and other global molecular data efforts.

中文翻译：

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出版的分子数据组织（MDOP）R软件包可帮助将数据上传到共享数据库。

分子识别方法（例如DNA条形码）依赖于集中式数据库，该数据库中包含形态识别的个体及其参考核苷酸序列记录。随着分子识别方法在食品欺诈，环境调查和边境监视等领域的使用不断扩展，需要各种国际数据集。尽管诸如生命条形码系统（BOLD）之类的中央数据存储库提供了用于上载数据格式的变通办法，但是这些变通办法可能会给资源少，资金有限的研究人员带来负担。为了解决这些问题，我们提供了分子数据出版组织（MDOP）R软件包，以帮助研究人员将数据上传到公共数据库。为了说明这些脚本的用法，我们以BOLD系统为例。本书的主要目的是协助数据从学术，政府和其他机构计算机系统到公共场所的移动。这些数据的移动可以更好地为全球DNA条形码计划和其他全球分子数据工作做出贡献。