Data collection and cleaning workflows implement highly repetitive but extremely important processes. In this article, we introduce iefieldkit, a package developed to standardize and simplify best practices for high-quality primary data collection across the World Bank’s Development Research Group Impact Evaluations department. iefieldkit automates error-checking for electronic Open Data Kit-based survey modules such as those implemented in SurveyCTO; duplicate checking and resolution; data cleaning, including renaming, labeling, recoding, and survey harmonization; and codebook creation.

中文翻译：

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iefieldkit：用于主要数据收集和清理的命令

数据收集和清理工作流实施高度重复但极其重要的过程。在本文中，我们介绍了iefieldkit，这是一个软件包，用于标准化和简化世界银行发展研究小组影响评估部门的高质量原始数据收集的最佳实践。iefieldkit对基于电子开放数据工具包的调查模块（例如SurveyCTO中实现的模块）自动进行错误检查。重复检查和解决；数据清理，包括重命名，标记，重新编码和调查协调；和密码本的创建。