https://github.com/finnishcancerregistry/vame
A principled approach to metadata in R for your dataset.
https://github.com/finnishcancerregistry/vame
data-documentation data-governance data-structures data-validation metadata-management r r-package variable-management variable-metadata
Last synced: over 1 year ago
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A principled approach to metadata in R for your dataset.
- Host: GitHub
- URL: https://github.com/finnishcancerregistry/vame
- Owner: FinnishCancerRegistry
- License: other
- Created: 2023-04-11T19:30:54.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2025-02-28T10:16:56.000Z (over 1 year ago)
- Last Synced: 2025-02-28T17:11:50.354Z (over 1 year ago)
- Topics: data-documentation, data-governance, data-structures, data-validation, metadata-management, r, r-package, variable-management, variable-metadata
- Language: R
- Homepage:
- Size: 677 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- License: LICENSE
Awesome Lists containing this project
README
# Package `vame`
`vame` makes it simpler to define and make use of metadata pertaining
to one more variables (e.g. a tabular dataset). It implements the
`VariableMetadata` class, which contains the metadata. The various metadata
are accessed using slot functions such as `vm@var_description_get`.
The `VariableMetadata` class is intended for storing metadata for which there
is "one right way". For instance, a variable has one correct description in
text. This philosophy excludes tasks such as creating a manual for a dataset,
which can take many forms.
See the help page `?vame::VariableMetadata` for more information. In
particular see the examples.
[](https://github.com/FinnishCancerRegistry/vame/actions/workflows/R-CMD-check.yaml)
# Recommended installation
```r
devtools::install_github(
"FinnishCancerRegistry/vame",
ref = readline("enter latest tag on github: ")
)
```