https://search.gesis.org> makes available thousands of invaluable datasets, but researchers using these datasets are caught in a bind. The archive's terms and conditions bar dissemination of downloaded datasets to third parties, but to ensure that one's work can be reproduced, assessed, and built upon by others, one must provide access to the raw data one has employed. The 'gesisdata' package cuts this knot by providing registered users with programmatic, reproducible access to GESIS datasets from within 'R'.">

gesisdata: Reproducible Data Retrieval from the GESIS Data Archive (original) (raw)

Reproducible, programmatic retrieval of datasets from the GESIS Data Archive. The GESIS Data Archive <https://search.gesis.org> makes available thousands of invaluable datasets, but researchers using these datasets are caught in a bind. The archive's terms and conditions bar dissemination of downloaded datasets to third parties, but to ensure that one's work can be reproduced, assessed, and built upon by others, one must provide access to the raw data one has employed. The 'gesisdata' package cuts this knot by providing registered users with programmatic, reproducible access to GESIS datasets from within 'R'.

Version: 0.1.2
Imports: dplyr, foreign, magrittr, netstat, rio, RSelenium (≥ 1.7.1), stringr, tools, utils
Suggests: knitr, rmarkdown
Published: 2023-07-03
DOI: 10.32614/CRAN.package.gesisdata
Author: Frederick Solt [aut, cre, cph], Dave Peterson [ctb]
Maintainer: Frederick Solt
BugReports: https://github.com/fsolt/gesisdata/issues
License: MIT + file
URL: https://github.com/fsolt/gesisdata, https://fsolt.org/gesisdata/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: gesisdata results

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