dataspice: Create Lightweight Descriptions of Data

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, and produce more complex metadata formats to aid dataset discovery. Metadata fields are based on the '' and 'Ecological Metadata Language' standards.

Version: 1.1.0
Imports: purrr, EML, fs, jsonlite, whisker, readr, stringr, tools, tibble, shiny, rhandsontable, dplyr, tidyr, ggplot2, magrittr
Suggests: testthat, kableExtra, knitr, rmarkdown, servr, listviewer, maps
Published: 2021-05-16
DOI: 10.32614/CRAN.package.dataspice
Author: Carl Boettiger [aut] (, Scott Chamberlain [aut] (, Auriel Fournier [aut] (, Kelly Hondula [aut] (, Anna Krystalli [aut] (, Bryce Mecum [aut, cre] (, Maëlle Salmon [aut] (, Kate Webbink [aut] (, Kara Woo [aut] (, Irene Steves [ctb] (
Maintainer: Bryce Mecum <brycemecum at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: dataspice results


Reference manual: dataspice.pdf
Vignettes: dataspice Overview


Package source: dataspice_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): dataspice_1.1.0.tgz, r-oldrel (arm64): dataspice_1.1.0.tgz, r-release (x86_64): dataspice_1.1.0.tgz, r-oldrel (x86_64): dataspice_1.1.0.tgz
Old sources: dataspice archive


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