Tools: R packages for "Metadata"

[mrustl]

codemetar (https://ropensci.github.io/codemetar)

"We recommend you to use the codemetar (https://ropensci.github.io/codemetar) package for creating and updating a JSON CodeMeta metadata file (https://codemeta.github.io/) for your package via codemetar::write_codemeta(). It will automatically include all useful information, including GitHub topics. CodeMeta uses schema.org terms so as it gains popularity the JSON metadata of your package might be used by third-party services, maybe even search engines. " (https://ropensci.github.io/dev_guide/building.html#creating-metadata-for-your-package)

dataspice (https://github.com/ropenscilabs/dataspice)

The goal of dataspice is to make it easier for researchers to create basic, lightweight and concise metadata files for their datasets. These basic files can then be used to:

• make useful information available during analysis.
• create a helpful dataset README webpage.
• produce more complex metadata formats to aid dataset discovery.

Metadata fields are based on schema.org and other metadata standards.

R package: dirdf - Extracts Metadata from Directory and File Names https://github.com/ropenscilabs/dirdf
Create tidy data frames of file metadata from directory and file names.