Published June 2, 2022 | Version 0.2.5
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retroharmonize: Ex Post Survey Data Harmonization

  • 1. Reprex BV
  • 1. Government Transparency Institute
  • 2. Institute of Political Studies of the Polish Academy of Sciences
  • 3. University of Turku
  • 4. Data Science Consultant


The aim of retroharmonize is to provide tools for reproducible retrospective (ex-post) harmonization of datasets that contain variables measuring the same concepts but coded in different ways. Ex-post data harmonization enables better use of existing data and creates new research opportunities. For example, harmonizing data from different countries enables cross-national comparisons, while merging data from different time points makes it possible to track changes over time.

This development version has a few know issues. For testing purposes, we release the Harmonized Cultural Access & Participation Dataset (which is also has a vignette in the longform documentation of the R package)


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