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Bryan Mayer talking about DataPackageR and the trials of sharing data. Lots of issues, hard to notate final final versions of data... #CascadiarconfOn twitter.com
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DataPackageR: Versionable data, with processing scripts, and processing data. An @rOpenSci joint. #CascadiarconfPermalink On twitter.com
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@rOpenSci Good for mature workflows using version control, and packaging multiple datasets. Not for really large data. Data is shared as R package, easy to load in data as you need it. #CascadiarconfPermalink On twitter.com
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@rOpenSci Configuration using datapackage_skeleton() - YAML file controls package building process. data-raw/ folder houses user code for data. #CascadiarconfPermalink On twitter.com
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[editorial note: I was a reviewer on DataPackageR for Gates open sci, and we use DataPackageR for our work]Permalink On twitter.com
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Convenience functions exist for adding/removing data objects in the package. Store data processing code in data-raw/ and access using project_extdata_path() #CascadiarconfPermalink On twitter.com
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Once everything is set, build package and fill out documentation. Goes through datasets and creates documentation. Fill out documentation, and then use devtools::document(). Then you can build as a normal R package. #CascadiarconfPermalink On twitter.com