emld: Ecological Metadata as Linked Data

This is a utility for transforming Ecological Metadata Language ('EML') files into 'JSON-LD' and back into 'EML.' Doing so creates a list-based representation of 'EML' in R, so that 'EML' data can easily be manipulated using standard 'R' tools. This makes this package an effective backend for other 'R'-based tools working with 'EML.' By abstracting away the complexity of 'XML' Schema, developers can build around native 'R' list objects and not have to worry about satisfying many of the additional constraints of set by the schema (such as element ordering, which is handled automatically). Additionally, the 'JSON-LD' representation enables the use of developer-friendly 'JSON' parsing and serialization that may facilitate the use of 'EML' in contexts outside of 'R,' as well as the informatics-friendly serializations such as 'RDF' and 'SPARQL' queries.

Version: 0.5.1
Depends: R (≥ 3.1.0)
Imports: xml2, jsonlite, jsonld, methods, yaml
Suggests: spelling, testthat, magrittr, rmarkdown, covr, knitr, rdflib, jqr
Published: 2020-09-27
DOI: 10.32614/CRAN.package.emld
Author: Carl Boettiger ORCID iD [aut, cre, cph], Matthew B. Jones ORCID iD [aut, cph], Bryce Mecum ORCID iD [aut, cph]
Maintainer: Carl Boettiger <cboettig at gmail.com>
BugReports: https://github.com/ropensci/emld/issues
License: MIT + file LICENSE
URL: https://docs.ropensci.org/emld/, https://github.com/ropensci/emld
NeedsCompilation: no
Language: en-US
Citation: emld citation info
Materials: README NEWS
CRAN checks: emld results

Documentation:

Reference manual: emld.pdf
Vignettes: emld tutorial

Downloads:

Package source: emld_0.5.1.tar.gz
Windows binaries: r-devel: emld_0.5.1.zip, r-release: emld_0.5.1.zip, r-oldrel: emld_0.5.1.zip
macOS binaries: r-release (arm64): emld_0.5.1.tgz, r-oldrel (arm64): emld_0.5.1.tgz, r-release (x86_64): emld_0.5.1.tgz, r-oldrel (x86_64): emld_0.5.1.tgz
Old sources: emld archive

Reverse dependencies:

Reverse imports: ecocomDP, EML, metajam
Reverse suggests: BeeBDC, geometa

Linking:

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