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post: weimar oapk 2023
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---
layout: post
author: Julia Bartlewski
author_lnk: https://github.com/jbartlewski
title: Bauhaus-Universität Weimar 2023 OAPK data integrated
date: 2025-01-24 12:00:00
summary:
categories: [general, openAPC]
comments: true
---


```{r, echo = FALSE}
knitr::opts_knit$set(base.url = "/")
knitr::opts_chunk$set(
comment = "#>",
collapse = TRUE,
warning = FALSE,
message = FALSE,
echo = FALSE,
fig.width = 9,
fig.height = 6
)
options(scipen = 1, digits = 2)
knitr::knit_hooks$set(inline = function(x) {
prettyNum(x, big.mark=",")
})
```

The Forschungszentrum Jülich collects publication cost data from German institutions as part of the DFG programme "[Open Access Publication Funding](https://www.fz-juelich.de/en/zb/open-science/open-access/monitoring-dfg-oa-publication-funding)".

When reporting their publication costs, the [Bauhaus-Universität Weimar](https://www.uni-weimar.de/en/university/start/) had agreed to share the data with OpenAPC as well. This data has now been transferred and integrated.

Contact person for the Weimar data is [Dana Horch](<mailto:[email protected]>).

## Cost data

```{r, cache.lazy = TRUE}
#' Download APC spreadsheet from github which requires to Curl installed
download_apc <- function(path = NULL, dir = "tmp", file = "apc_de.csv"){
if(is.null(path)) {
path <- c("https://raw.githubusercontent.com/OpenAPC/openapc-de/master/data/apc_de.csv")
}
dir.create(dir)
download.file(url = path, destfile = paste(dir, file, sep = "/"), method = "curl")
read.csv(paste(dir, file, sep = "/"), header = T,sep =",")
}
my.apc <- download_apc()
my.apc <- my.apc[my.apc$institution == "Bauhaus-Universität Weimar",]
my.apc <- droplevels(my.apc)
my.apc_new <- download_apc(c("https://raw.githubusercontent.com/OpenAPC/openapc-de/refs/tags/v4.141.5-5-2/data/uniweimar/oapk_2023_bauhaus-universit%C3%A4t_weimar_enriched.csv"))
my.apc_new <- my.apc_new[my.apc_new$institution == "Bauhaus-Universität Weimar",]
my.apc_new <- droplevels(my.apc_new)
```

The new data set covers publication fees for `r format(nrow(my.apc_new), big.mark =",")` articles, total expenditure amounts to `r sum(my.apc_new$euro)`€ and the average fee is `r sum(my.apc_new$euro)/nrow(my.apc_new)`€. Please note that articles published in **hybrid** journals under the DEAL agreements are not included in this list, as they are aggregated in OpenAPC's [transformative agreements](https://github.com/OpenAPC/openapc-de/tree/master/data/transformative_agreements) data set. BPCs are aggregated in OpenAPC's [BPC](https://github.com/OpenAPC/openapc-de/blob/master/data/bpc.csv) dataset and are not listed here either.


The following table provides an overview of the reported APCs:


```{r}
d_frame = data.frame(table(my.apc_new$publisher, dnn="Publisher"))
d_frame = d_frame[with(d_frame, order(-Freq, Publisher)), ]
my.apc_new$publisher <- factor(my.apc_new$publisher, levels = d_frame$Publisher)
df.summary <-cbind(tapply(my.apc_new$euro, my.apc_new$publisher, length),
tapply(my.apc_new$euro, my.apc_new$publisher, sum),
tapply(my.apc_new$euro, my.apc_new$publisher, mean))
colnames(df.summary) <- c("Articles", "Fees paid in EURO", "Mean Fee paid")
knitr::kable(as.data.frame(df.summary), digits = 2)
```

## Overview

With the recent contribution included, the overall APC data for the Bauhaus-Universität Weimar now looks as follows:

### Fees paid per publisher (in EURO)

```{r tree_weimar_2025_01_24_full}
tt <- aggregate(my.apc$euro, by = list(my.apc$publisher), sum)
colnames(tt) <- c("Publisher", "Euro")
treemap::treemap(tt, index = c("Publisher"), vSize = "Euro", palette = "Paired")
```

### Average costs per year (in EURO)

```{r box_weimar_2025_01_24_year_full, echo=FALSE, message = FALSE}
require(ggplot2)
q <- ggplot(my.apc, aes(factor(period), euro)) + geom_boxplot() + geom_point()
q <- q + ylab("Fees paid (in EURO)") + theme(legend.position="top") + theme_bw(base_size = 18)
q + xlab("Funding period") + ylab("APC")
```

### Average costs per publisher (in EURO)

```{r box_weimar_2025_01_24_publisher_full, echo = FALSE, message = FALSE}
require(ggplot2)
require(tidyverse)
my.apc <- my.apc %>%
mutate(publisher = str_replace(publisher, ".+\\((\\w+)\\)", "\\1")) %>%
mutate(publisher = str_replace(publisher, "Journal of Liberty and International Affairs, Institute for Research and European Studies - Bitola", "Bitola"))
d_frame = data.frame(table(my.apc$publisher, dnn="Publisher"))
d_frame = d_frame[with(d_frame, order(-Freq, Publisher)), ]
publishers = as.character(d_frame$Publisher[d_frame$Freq > 1])
my.apc_reduced = my.apc[my.apc$publisher %in% publishers,]
q <- ggplot(my.apc_reduced, aes(publisher, euro)) + geom_boxplot() + geom_point()
q <- q + ylab("Fees paid (in EURO)") + theme(legend.position="top") + theme_bw(base_size = 18) + coord_flip()
q + xlab("Publisher (> 1 article)") + ylab("APC")
```
56 changes: 56 additions & 0 deletions _posts/2025-01-24-weimar.md
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---
layout: post
author: Julia Bartlewski
author_lnk: https://github.com/jbartlewski
title: Bauhaus-Universität Weimar 2023 OAPK data integrated
date: 2025-01-24 12:00:00
summary:
categories: [general, openAPC]
comments: true
---




The Forschungszentrum Jülich collects publication cost data from German institutions as part of the DFG programme "[Open Access Publication Funding](https://www.fz-juelich.de/en/zb/open-science/open-access/monitoring-dfg-oa-publication-funding)".

When reporting their publication costs, the [Bauhaus-Universität Weimar](https://www.uni-weimar.de/en/university/start/) had agreed to share the data with OpenAPC as well. This data has now been transferred and integrated.

Contact person for the Weimar data is [Dana Horch](<mailto:[email protected]>).

## Cost data



The new data set covers publication fees for 8 articles, total expenditure amounts to 8,694€ and the average fee is 1,087€. Please note that articles published in **hybrid** journals under the DEAL agreements are not included in this list, as they are aggregated in OpenAPC's [transformative agreements](https://github.com/OpenAPC/openapc-de/tree/master/data/transformative_agreements) data set. BPCs are aggregated in OpenAPC's [BPC](https://github.com/OpenAPC/openapc-de/blob/master/data/bpc.csv) dataset and are not listed here either.


The following table provides an overview of the reported APCs:




| | Articles| Fees paid in EURO| Mean Fee paid|
|:---------------------|--------:|-----------------:|-------------:|
|MDPI AG | 3| 4903| 1634|
|Elsevier BV | 2| 2094| 1047|
|Oekom Publishers GmbH | 2| 595| 298|
|Frontiers Media SA | 1| 1101| 1101|



## Overview

With the recent contribution included, the overall APC data for the Bauhaus-Universität Weimar now looks as follows:

### Fees paid per publisher (in EURO)

![plot of chunk tree_weimar_2025_01_24_full](/figure/tree_weimar_2025_01_24_full-1.png)

### Average costs per year (in EURO)

![plot of chunk box_weimar_2025_01_24_year_full](/figure/box_weimar_2025_01_24_year_full-1.png)

### Average costs per publisher (in EURO)

![plot of chunk box_weimar_2025_01_24_publisher_full](/figure/box_weimar_2025_01_24_publisher_full-1.png)
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