A companion R package for The Research Quality Evaluation (RESQUE) Framework • RESQUER

An R package for analyzing the RESQUE Research Quality Evaluation schemes. This is work in progress, and likely to change.

Install the development versions from GitHub with:

install.packages("remotes")
remotes::install_github("nicebread/OAmetrics", auth_token=NULL)
remotes::install_github("RESQUE-Framework/RESQUER", auth_token=NULL)

The package is not on CRAN yet.

How to create an individual profile (html file):

You need Quarto installed on your system.

library(quarto)
library(RESQUER)

# The rendered html file is created in the same folder as the input json file.
# `outfile` also contains the path to the rendered file
json_path = "resque_123456.json"
outfile <- render_profile(json_path)

How to preview the interactive dashboard (Shiny App):

For the interactive dashboard, you need Quarto installed on your system.

Launch the dashboard with the three included demo profiles:

library(quarto)
library(RESQUER)
quarto_serve(system.file("dashboard/dashboard_shiny.qmd", package="RESQUER"))

Some internal documentation (needs to be properly documented)

$indicators contains all data (also publications without any data).
- $impact_pubs is a subset of indicators: contains all publications that are eligible for the impact table (i.e., papers with sufficient indicator information and papers were a manual processing was requested)
- $OAlex_papers is the same set as $impact_pubs, but contains the full OA information
  - $rigor_pubs is a subset of $impact_pubs: contains all publications that are eligible for the rigor score and other descriptives (i.e., papers with sufficient indicator information)