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│ ├───repotutils/ Scripts for automating management of this repository
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│ ├───scimetric/ Scimetric journal meta/rcr frequency analysis in a Jupyter Notebook
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│ ├───timeline/ R Markdown document to produce the RCR case study timeline in the paper, incl. helper files for execution with CWL (wrapper script, Dockerfile)
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│ ├───wget2jsonld.py Helper script to convert wget output to jsonld
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│ └───wordcloud.RProduces word cloud from cited abstracts
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│ └───wordcloud/ R script to produce word cloud from cited abstracts
Note that the tools requires Docker for runningthe computing environment, see the file `timeline/Dockerfile` for the definition of the image used in the `.cwl` file.
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## Run on Binder
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[MyBinder](https://mybinder.org/) is a tool for creating executable computing environments based on standard and widely used dependency management files.
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You can easily run important parts of the analysis for the manuscript by clicking on the badges below.
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Binder will create a container using the environment configuration from the directory `.binder/` and provide you with an interactive environment to execute notebooks or scripts.
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- Scimetric journal frequency analysis of RCR and metadata terms (opens a Jupyter Notebook) [](https://mybinder.org/v2/gh/leipzig/metadata-in-rcr/HEAD?filepath=src%2Fscimetric%2Fscimetric.ipynb)
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- Create Figure 2 from the paper (R Markdown notebook, open the file `src/timeline/timeline.Rmd` manually in RStudio) [](https://mybinder.org/v2/gh/leipzig/metadata-in-rcr/HEAD?urlpath=rstudio)
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- Create word cloud from cited abstracts (run R script `src/wordcloud/wordcloud.R`) [](https://mybinder.org/v2/gh/leipzig/metadata-in-rcr/HEAD?urlpath=rstudio)
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For development purposes, you can also run `repo2docker` locally in the directory of the repository.
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