ieeldkit: Commands for primary data collection and cleaning
Bjarkefur, Kristoffer | de Andrade, Luiza Cardoso | Daniels, Benjamin
Data collection and cleaning work flows 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.
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Эту запись предоставил University of Minnesota
