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update urls
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fsolt committed Jul 3, 2023
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Expand Up @@ -6,7 +6,7 @@ Date: 2023-07-03
Authors@R: c(
person("Frederick", "Solt", email = "frederick-solt@uiowa.edu", role = c("aut", "cre", "cph")),
person("Dave", "Peterson", email = "daveamp@iastate.edu", role = c("ctb")))
URL: https://github.com/fsolt/gesisdata, http://fsolt.org/gesisdata/
URL: https://github.com/fsolt/gesisdata, https://fsolt.org/gesisdata/
BugReports: https://github.com/fsolt/gesisdata/issues
Description: Reproducible, programmatic retrieval of datasets from the
GESIS Data Archive. The GESIS Data Archive <https://search.gesis.org>
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -10,7 +10,7 @@ gesisdata

The [GESIS](https://search.gesis.org) Data Archive makes available thousands of invaluable social scientific surveys, including, among many others, the ALLBUS, the European Values Survey, the Eurobarometer, and the International Social Survey Program. Researchers taking advantage of these datasets, however, 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 employed.

The `gesisdata` package cuts this knot by providing programmatic, reproducible access to specified GESIS datasets from within R for [registered users](https://login.gesis.org/).
The `gesisdata` package cuts this knot by providing programmatic, reproducible access to specified GESIS datasets from within R for [registered users](https://login.gesis.org/realms/gesis/account/).


To install:
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4 changes: 2 additions & 2 deletions vignettes/gesisdata-vignette.Rmd
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The [GESIS](https://search.gesis.org) Data Archive makes available thousands of invaluable social scientific surveys, including, among many others, the ALLBUS, the European Values Survey, the Eurobarometer, and the International Social Survey Program. Researchers taking advantage of these datasets, however, 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 employed.

The `gesisdata` package cuts this knot by providing programmatic, reproducible access to specified GESIS datasets from within R for [registered users](https://login.gesis.org/).
The `gesisdata` package cuts this knot by providing programmatic, reproducible access to specified GESIS datasets from within R for [registered users](https://login.gesis.org/realms/gesis/account/).


## Setup

When used interactively, the `gesis_download` function will ask for the login information required by GESIS: the registered user's email, password, and the use to which the data will be put.
After that information is input once, it will be entered automatically for any other download requests made in the same session. To change this contact information within a session, one may set the argument `reset` to `TRUE` when running `gesis_download` again, and the function will again request the required information.

An optional, but highly recommended, setup step is to add the information that GESIS requires to your [.Rprofile](http://www.statmethods.net/interface/customizing.html) as in the following example:
An optional, but highly recommended, setup step is to add the information that GESIS requires to your [.Rprofile](https://www.statmethods.net/interface/customizing.html) as in the following example:

```{r eval = FALSE}
options("gesis_email" = "juanita-herrara@uppermidwest.edu",
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