For scientists and data managers to create high quality EML 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 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.
# Install from GitHub
remotes::install_github("EDIorg/EMLassemblyline")
An overview of the EAL use cases
Please contribute! See our code of conduct and contributing guidelines for details.
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Several people have contributed to this project. List of contributors.
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