knitr::opts_chunk$set(echo = TRUE)
This document describes an R tool for easy download of a dataset from
the Energy Databus (https://energy.databus.dbpedia.org/) and direct use of said
dataset in the madrat
/mrPACKAGE
universe.
An extensive documentation of the Databus
can be found here:
https://github.com/LOD-GEOSS/LOD-GEOSS.github.io/tree/master/documents.
The R package r2databus
contains the function toolDatabusDownload
, which, when
called inside a mrPACKAGE:::downloadYXZ
("YXZ" being the name of the dataset) function
will download the dataset and its metadata, and make them available for further
processing with madrat
(see an example downloadYXZ
function and how it is used
in madrat
here:
https://pik-piam.r-universe.dev/ui#view:madrat/madrat.html).
Developers of the madrat
/mrPACKAGE
universe can write
their own mrPACKAGE:::downloadYXZ
functions based on this example:
#' @title Download DatabusExample #' @description Provides an example on how to write a function that downloads #' a dataset from the Energy Databus for use with madrat #' #' @author Anastasis Giannousakis #' @seealso [downloadSource()] #' @examples \dontrun{ #' a <- downloadSource("DatabusExample") #' } #' #' @importFrom r2databus toolDatabusDownload downloadDatabusExample <- function() { tmp <- toolDatabusDownload(artifact = "https://energy.databus.dbpedia.org/ pik-piam/GROUPNAME/ARTIFACT/", subtype = "https://energy.databus.dbpedia.org/pik-piam/GROUPNAME/ ARTIFACT/YOURVERSION/ARTIFACT_FOO=BAR_TYPE=SOMEDATATYPE.rdf") return(tmp) }
toolDatabusDownload
will download the dataset and the metadata and pass on the
metadata to downloadYXZ
, which will further pass on the metadata to madrat::downloadSource
.
An explanation of the necessary arguments in the call to toolDatabusDownload
can be found in the documentation of toolDatabusDownload
.
NOTE: toolDatabusDownload
performs SPARQL queries on the Databus to find your
dataset and its metadata. An R SPARQL
package is used to perform these queries,
but since it's not included in the official R-CRAN (status of 7 Nov 2022), the
SPARQL
package is distributed by the PIK-PIAM R-CRAN, found here:
https://rse.pik-potsdam.de/
You might need to explicitely load the SPARQL
package (via library(SPARQL)
in
order for your script to function properly).
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