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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 Cook ORCID iD [aut, cre], Md Assaduzaman ORCID iD [aut], Sarahjane Jones ORCID iD [aut]
Maintainer: Robert Cook <robert.cook at staffs.ac.uk>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-GB
Materials: NEWS
CRAN checks: deident results

Documentation:

Reference manual: 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 form https://CRAN.R-project.org/package=deident to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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