Deident

Deident: An R package for data anonymization - Published in JOSS (2025)

https://github.com/stat-cook/deident

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic publication links
  • Committers with academic emails
    1 of 1 committers (100.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 6 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: Stat-Cook
  • License: other
  • Language: R
  • Default Branch: master
  • Size: 1.12 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 5
  • Releases: 2
Created almost 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog License

README.md

deident

<!-- badges: start --> R-CMD-check codecov <!-- badges: end -->

Tools for creating and applying a semi-automated persistent de-identification pipeline to sensitive data. The package is implemented in R.

To install the current version, run the command

r devtools::install_github("Stat-Cook/deident") library("deident")

The documentation for deident is hosted via github pages here. We suggest looking at the Worked Example vignette to understand the intended workflow.

Getting help

If you encounter a bug, please file a minimal reproducible example on github. Any feature requests, or requests for guidance on using the package can also be submitted this way though please read the documentation first.

Contribution to deident is welcome, to do so please open an issue so the development team can check it is compatible with the design principles or feel free to fork the repository.

Owner

  • Name: RM Cook
  • Login: Stat-Cook
  • Kind: user
  • Location: Birmingham, UK
  • Company: University of Staffordshire

JOSS Publication

Deident: An R package for data anonymization
Published
January 21, 2025
Volume 10, Issue 105, Page 7157
Authors
Robert M. Cook ORCID
University of Staffordshire, Centre for Health Innovation, Blackheath Lane, Stafford, England
Md Asaduzzaman ORCID
University of Staffordshire, Stoke-on-Trent, England
Sarahjane Jones ORCID
University of Staffordshire, Centre for Health Innovation, Blackheath Lane, Stafford, England
Editor
Susan Holmes ORCID

GitHub Events

Total
  • Create event: 3
  • Release event: 2
  • Issues event: 16
  • Watch event: 2
  • Issue comment event: 19
  • Push event: 47
Last Year
  • Create event: 3
  • Release event: 2
  • Issues event: 16
  • Watch event: 2
  • Issue comment event: 19
  • Push event: 47

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 194
  • Total Committers: 1
  • Avg Commits per committer: 194.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 94
  • Committers: 1
  • Avg Commits per committer: 94.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Rob r****1@s****k 194
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 18
  • Total pull requests: 1
  • Average time to close issues: about 1 month
  • Average time to close pull requests: less than a minute
  • Total issue authors: 3
  • Total pull request authors: 1
  • Average comments per issue: 1.83
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 18
  • Pull requests: 1
  • Average time to close issues: about 1 month
  • Average time to close pull requests: less than a minute
  • Issue authors: 3
  • Pull request authors: 1
  • Average comments per issue: 1.83
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • PatrickRWright (8)
  • Stat-Cook (6)
  • nrennie (4)
Pull Request Authors
  • Stat-Cook (2)
Top Labels
Issue Labels
JOSS (7) under review (2)
Pull Request Labels

Dependencies

DESCRIPTION cran
  • R6 * imports
  • dplyr * imports
  • glue * imports
  • openssl * imports
  • purrr * imports
  • readxl * imports
  • rlang * imports
  • stringr * imports
  • tidyselect * imports
  • checkmate * suggests
  • testthat >= 3.0.0 suggests
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