Tools to anonymize data
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- Dominant language
- No language data
- Stars
- 17
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
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A description of several tools: How to anonymise/pseudonymise your open data in R.
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An application of the digest package: Data anonymization in R.
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Create synthetic data from real data: The synthpop package.
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A safe approach to anonymizing data: The openssl package.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review the four linked resources and inspect how resources are organized in the RMI/resources repository. Add the relevant anonymization resources in the appropriate location with concise descriptions and working links; done means the collection is complete and useful to readers.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data, documentation, security
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100