iefieldkit: Commands for primary data collection and cleaning (update)

Data collection and cleaning workflows implement highly repetitive but extremely important processes. In this article, we describe an update to iefieldkit, a package developed to standardize and simplify best practices for high-quality primary data collection across the World Bank’s Development Impact Evaluation department. The first release of iefieldkit provided workflows to automate error checking for Open Data Kit-based survey modules, duplicate management, data cleaning, and codebook creation. This update to the package includes improved commands to document and implement data point corrections, verify the structure or contents of data using codebooks, and create replication ready data through automated variable subsetting.

数据收集与清洗工作流是一类高度重复却极为关键的处理流程。本文介绍了iefieldkit的更新版本——该工具包由世界银行（World Bank）发展影响评估部门开发，旨在标准化并简化高质量一手数据收集的最佳实践。iefieldkit的首个发布版本提供了针对基于Open Data Kit的调研模块实现自动化错误检查、重复项管理、数据清洗以及代码本（codebook）创建的工作流。本次工具包更新新增了多项优化后的命令，可用于记录并执行数据点修正、基于代码本验证数据结构与内容，以及通过自动化变量子集提取生成可复现的数据。