https://github.com/EDIorg/EMLassemblyline
R package for creating EML metadata
https://github.com/EDIorg/EMLassemblyline
Last synced: 5 months ago
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R package for creating EML metadata
- Host: GitHub
- URL: https://github.com/EDIorg/EMLassemblyline
- Owner: EDIorg
- License: mit
- Created: 2017-03-09T17:04:28.000Z (about 8 years ago)
- Default Branch: main
- Last Pushed: 2024-04-02T20:34:58.000Z (about 1 year ago)
- Last Synced: 2024-08-13T07:11:26.831Z (8 months ago)
- Language: R
- Homepage: https://ediorg.github.io/EMLassemblyline/
- Size: 7.56 MB
- Stars: 27
- Watchers: 18
- Forks: 13
- Open Issues: 54
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Authors: AUTHORS.md
- Codemeta: codemeta.json
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README
[](https://travis-ci.org/EDIorg/EMLassemblyline)
[](https://codecov.io/github/EDIorg/EMLassemblyline?branch=master)
[](https://zenodo.org/badge/latestdoi/84467795)# EMLassemblyline (EAL)
For scientists and data managers to create high quality [EML](https://eml.ecoinformatics.org/) metadata for dataset publication. EAL is optimized for automating recurring publications (time series or data derived from time series sources) but works well for "one-off" publications, especially through the [MetaShARK](https://github.com/earnaud/MetaShARK-v2) interface. EAL prioritizes automated metadata extraction from data objects to minimize required human effort and encourages EML best practices to make publications Findable, Accessible, Interoperable, and Reusable.
## Features
* Optimized for automating recurring data publications
* Works well for one-off data publications
* Prioritizes automated metadata extraction from data objects
* Aligns with EML best practices of the U.S. Long Term Ecological Research Network (LTER)
* Requires no familiarity with EML
* Requires little familiarity with the R language
* Accepts all data types
* Is data repository agnostic## Install
```
# Install from GitHub
remotes::install_github("EDIorg/EMLassemblyline")
```## Usage
[An overview of the EAL use cases](https://ediorg.github.io/EMLassemblyline/articles/overview.html)
## Active projects
* Creating a Shiny interface for editing metadata template files thereby eliminating requirements for text and spreadsheet editors while facilitating use of dictionaries, vocabularies, and ontologies. This is under development in the [MetaShARK](https://github.com/earnaud/MetaShARK-v2) application, developped by the PNDB (French Biodiversity National Data Hub).
* Aligning EAL with a profile of the most commonly used EML elements to provide an exchange interface with other information systems (e.g. [LTER-core-metabase](https://github.com/lter/LTER-core-metabase)).
* See project [issues](https://github.com/EDIorg/EMLassemblyline/issues) for more.## Contributing
Please contribute! See our [code of conduct](https://github.com/EDIorg/EMLassemblyline/blob/master/CODE_OF_CONDUCT.md) and [contributing guidelines](https://github.com/EDIorg/EMLassemblyline/blob/master/CONTRIBUTING.md) for details.
## Versioning
This project uses [semantic versioning](https://semver.org).
## Authors
Several people have contributed to this project. [List of contributors](https://github.com/EDIorg/EMLassemblyline/blob/master/AUTHORS.md).
## Related materials
* The [Ecological Metadata Language (EML)](https://knb.ecoinformatics.org/#external//emlparser/docs/index.html)
* Some [EML Best Practices](https://ediorg.github.io/data-package-best-practices/EMLmetadata/)
* The [EML R library](https://github.com/ropensci/EML) is the foundation of EAL.