Create Lightweight Schema.org 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 'Schema.org' and 'Ecological Metadata Language' standards.


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Reference manual

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install.packages("dataspice")

1.0.0 by Bryce Mecum, 21 days ago


https://github.com/ropenscilabs/dataspice


Report a bug at https://github.com/ropenscilabs/dataspice/issues


Browse source code at https://github.com/cran/dataspice


Authors: Carl Boettiger [aut] (https://github.com/cboettig) , Scott Chamberlain [aut] (https://github.com/sckott) , Auriel Fournier [aut] (https://github.com/aurielfournier) , Kelly Hondula [aut] (https://github.com/khondula) , Anna Krystalli [aut] (https://github.com/annakrystalli) , Bryce Mecum [aut, cre] (https://github.com/amoeba) , Maƫlle Salmon [aut] (https://github.com/maelle) , Kate Webbink [aut] (https://github.com/magpiedin) , Kara Woo [aut] (https://github.com/karawoo) , Irene Steves [ctb] (https://github.com/isteves)


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports purrr, EML, fs, jsonlite, whisker, readr, stringr, tools, tibble, shiny, rhandsontable, dplyr, tidyr, ggplot2, magrittr

Suggests testthat, kableExtra, knitr, rmarkdown, servr, listviewer, maps


See at CRAN