The goal of CRediTas is to facilitate the tedious job of creating CRediT authors statements for scientific publications. Normally, the first author of a scientific paper organizes a table in a spreadsheet where all the authors self-state their contributions. Often too, it is the first author responsibility to state the contributions of all co-authors. However, at the end, the information has to be translated to the CRediT statement format of “Author 1: roles Authors 2: roles …” which is prone to errors and tedious, especially if there are many co-authors. The CRediTas package aims to make this easier by providing a template to be filled in form of a table (csv) and then converting this table to CRediT statement format.
You can install the development version of CRediTas from r-universe with:
install.packages("CRediTas", repos = "https://ropensci.r-universe.dev")
Or you can install de long term release version from CRAN as usual:
install.packages("CRediTas")
The workflow is meant to work with three basic functions. First, we create a template table. It can be created as a data.frame and being populated in R. Or as a csv file and being populated in your preferred csv editor.
library(CRediTas)
template_create(authors = c("Alexander Humboldt", "Carl Ritter"), file = tempfile())
cras_table <- template_create(authors = c("Friedrich Ratzel",
"Pau Vidal de la Blache",
"Pau Vila",
"Élisée Reclus"))
knitr::kable(cras_table) Authors Conceptualization Methodology Software Validation Formal Analysis Investigation Resources Data curation Writing - original draft Writing - review & editing Visualization Supervision Project administration Funding acquisition Friedrich Ratzel 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Pau Vidal de la Blache 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Pau Vila 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Élisée Reclus 0 0 0 0 0 0 0 0 0 0 0 0 0 0
As you can see, the table is empty. So you must provide the information of who did what. You can use the fix function to fill the template directly in R:
If you wrote the template to a file, then you can read it back to R as follows:
cras_table <- template_read(path_to_your_csv_file)
Once the cras_table is populated, for instance:
A text file can be generated following the CRediT author statement format. Since drop = TRUE by default, the authors without contribution are removed from the statement, Pau Vila in this case.
textfile <- tempfile() cras_write(cras_table, textfile, markdown = TRUE, quiet = TRUE)
If you open the text file, you will find this:
Friedrich Ratzel: Conceptualization, Validation, Writing - original draft, Supervision, Project administration Pau Vidal de la Blache: Conceptualization, Software, Validation, Formal Analysis, Writing - original draft, Project administration Élisée Reclus: Conceptualization, Formal Analysis, Investigation, Writing - original draft, Writing - review & editing, Supervision, Funding acquisition
## To cite CRediTas in publications use:
##
## Pueyo-Ros, J. CRediTas. A tiny package to generate CRediT author
## statements. doi: 10.5281/zenodo.7845945
## [https://docs.ropensci.org/CRediTas]
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {CRediTas. A tiny package to generate CRediT author statements},
## author = {Josep Pueyo-Ros},
## doi = {10.5281/zenodo.7845945},
## url = {https://docs.ropensci.org/CRediTas},
## }
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