For scientists and data managers who need to easily create high quality EML metadata for data publication.
EMLassemblyline is a metadata builder that emphasizes auto-extraction of metadata, appends value added content, and inputs user supplied information through common interfaces thereby minimizing user effort while maximizing metadata features for data discovery and reuse.
- Requires no familiarity with EML metadata
- Good for one-off data publication
- Great for 10s to 100s of data publications
- Accepts all data and file types
- Automatically extracts metadata from data entities
- Automatically appends value added content
- Accepts user inputs through simple text and spreadsheet editors
- Supports automated data publication
- Supports complex reproducible science workflows
- Interoperable with metadata storage systems via an exchange format
- Incorporates community best practices
- Based on simple file organization scheme
- Is not tied to a specific data repository
# Install from GitHub remotes::install_github("EDIorg/EMLassemblyline")
- Creating a Shiny interface for editing metadata template files, thus eliminating requirements for text and spreadsheet editors while facilitating use of dictionaries, controlled vocabularies, and ontologies.
- Developing an exchange format for environmental metadata so
EMLassemblyline(and other metadata builders) can be used with any metadata storage/organization system (e.g. LTER-core-metabase).
This project uses semantic versioning.
Several people have contributed to this project. List of contributors.