dataCleanr

dataCleanr is designed for addressing common data management tasks encountered when preparing data for archive and reuse. Many of these functions were created by the Environmental Data Initiative’s Data Curation Team to accelerate their data curation efficiency, and we welcome contributions from anyone.

Roadmap

dataCleanr focuses on user friendly high level functions for common data cleaning tasks in preparation for archive. Functionality should be accessible to R beginners.

Contributing

We welcome contributions of all forms including bug reports, feature requests, and new functionality. Please reference our code conduct and contributing guidelines for submitting pull requests.

Testing

Unit tests are implemented with testthat.

Versioning

Versioning for the dataCleanr follows semantic versioning.