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Researchers and librarians often deal with “messy” data. This could include inconsistent interview transcripts, poorly formatted longitudinal datasets, or standardizing names for an authority file. Preparing this data for analysis is a critical step that requires the same level of rigor and reproducibility as the analysis itself. This workshop introduces OpenRefine, a powerful, free, and […] |
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