1. Repeatable experiments with accurate data collection and reproducible analyses are fundamental to the scientific method but may be difficult to achieve in practice. Open‐source tools aid the reproducibility of data analysis, but analogous tools are generally lacking for sample collection and other early stages of scientific inquiry.
2. We introduce the R package baRcodeR for generating informative identifier (ID) codes with digitally encoded linear or 2D barcodes. Codes can be imported from an existing dataset (e.g. CSV file) or generated rapidly in baRcodeR, producing scannable barcodes with customizable page layouts for printing and scanning with consumer‐grade printers and scanners.
3. User‐defined ID codes may contain a simple sequence (e.g. SAMPLE‐0427) or encode more meaningful sample information such as individual subjects, treatment groups, sample populations, time points, spatial coordinates, subsamples or other associations (e.g. Pop22‐Ind08‐Time40). In addition to command‐line functions, a graphical‐user‐interface (GUI) is available from the ‘Addins’ menu of R Studio or online at https://bit.ly/baRcodeR to assist with ID code and barcode label creation.
4. baRcodeR can help biologists apply principles of open and reproducible science to collect and manage biological samples.

中文翻译：

---

baRcodeR：用于样品标记的开源R包

1. 具有准确数据收集和可重复分析的可重复实验是科学方法的基础，但在实践中可能很难实现。开源工具有助于数据分析的可重复性，但是通常缺乏用于样本收集和其他早期科学询问阶段的类似工具。
2. 我们引入了R包baRcodeR来生成带有数字编码的线性或2D条形码的信息标识符（ID）代码。可以从现有数据集中导入代码（例如CSV文件），也可以在baRcodeR中快速生成代码，从而生成具有可自定义页面布局的可扫描条形码，以便使用消费级打印机和扫描仪进行打印和扫描。
3. 用户定义的ID码可以包含一个简单的序列（例如SAMPLE-0427）或编码更有意义的样本信息，例如单个受试者，治疗组，样本种群，时间点，空间坐标，子样本或其他关联（例如Pop22-Ind08-Time40）。除了命令行功能之外，还可以从R Studio的“添加”菜单中或通过https://bit.ly/baRcodeR在线获取图形用户界面（GUI），以帮助创建ID代码和条形码标签。
4. baRcodeR可以帮助生物学家应用开放和可复制的科学原理来收集和管理生物样品。