Rmonize - Tools for Data Harmonization
Integrated tools to support rigorous and well documented
data harmonization based on Maelstrom Research guidelines. The
package includes functions to assess and prepare input
elements, apply specified processing rules to generate
harmonized datasets, validate data processing and identify
processing errors, and document and summarize harmonized
outputs. The harmonization process is defined and structured by
two key user-generated documents: the DataSchema (specifying
the list of harmonized variables to generate across datasets)
and the Data Processing Elements (specifying the input elements
and processing algorithms to generate harmonized variables in
DataSchema formats). The package was developed to address key
challenges of retrospective data harmonization in epidemiology
(as described in Fortier I and al. (2017)
<doi:10.1093/ije/dyw075>) but can be used for any data
harmonization initiative.
