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deident: Persistent Data Anonymization Pipeline

A framework for the replicable removal of personally identifiable data (PID) in data sets. The package implements a suite of methods to suit different data types based on the suggestions of Garfinkel (2015) <doi:10.6028/NIST.IR.8053> and the ICO "Guidelines on Anonymization" (2012) <https://ico.org.uk/media/1061/anonymisation-code.pdf>.

Version:1.0.0
Depends:R (≥ 2.10)
Imports:R6,dplyr,openssl,tidyselect,rlang (≥ 0.4.11),glue,purrr,stringr,yaml,readr,openxlsx,lemon,withr,fs
Suggests:testthat (≥ 3.0.0),checkmate,knitr,rmarkdown,roxygen2
Published:2024-11-19
DOI:10.32614/CRAN.package.deident
Author:Robert CookORCID iD [aut, cre], Md AssaduzamanORCID iD [aut], Sarahjane JonesORCID iD [aut]
Maintainer:Robert Cook <robert.cook at staffs.ac.uk>
License:MIT + fileLICENSE
NeedsCompilation:no
Language:en-GB
Materials:NEWS
CRAN checks:deident results

Documentation:

Reference manual:deident.html ,deident.pdf
Vignettes:Blur Example (source,R code)
Encrypt Example (source,R code)
Numeric Blur Example (source,R code)
Perturb Example (source,R code)
Rationale for De-identification (source,R code)
Re-using Methods (source,R code)
Shuffle Example (source,R code)
transformations (source,R code)
Worked Example (source,R code)

Downloads:

Package source: deident_1.0.0.tar.gz
Windows binaries: r-devel:deident_1.0.0.zip, r-release:deident_1.0.0.zip, r-oldrel:deident_1.0.0.zip
macOS binaries: r-release (arm64):deident_1.0.0.tgz, r-oldrel (arm64):deident_1.0.0.tgz, r-release (x86_64):deident_1.0.0.tgz, r-oldrel (x86_64):deident_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=deidentto link to this page.


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