Tenzing, an easy-to-use web-based app, allows researchers to generate reports about the contribution of each team member on a project using CRediT, for insertion into their manuscripts and for publishers to potentially incorporate into article metadata.

CRediT (Contributor Roles Taxonomy) is a taxonomy of 14 categories of contributions to scientific scholarly output. Each researcher can indicate which category they contributed to in a scholarly project.

The app is named after the Nepali-Indian Sherpa Tenzing Norgay, who was one of the two individuals who reached the summit of Mount Everest for the first time. Despite his essential contribution, he received less credit than his partner, the New Zealand mountaineer Edmund Hillary.

Features

Tenzing can:

  • read all the necessary contributorship information from one file (.csv, .tsv or .xlsx)
  • create a report of the contributions
  • create the contributors’ affiliation information, designed for inclusion in the first page of a manuscript
  • create JATS XML with the contributions, suitable for publishers to include in metadata
  • create a YAML output that will automatically add the contributorship information to the papajapackage used by some researchers to write APA-formatted manuscripts

Usage

Tenzing can be used either via the web app or via R.

Using the web app

You can use the app at https://martonbalazskovacs.shinyapps.io/tenzing/.

You can alternatively run the app locally on your own computer by following these instructions:

You may try to start the downlad and start the app directly in R with

# install.packages ("shiny")
shiny::runGitHub("marton-balazs-kovacs/tenzing")

Or install the development version (tenzing is not available from CRAN) from GitHub with:

# install.packages("devtools")
devtools::install_github("marton-balazs-kovacs/tenzing")

Running the app with:

tenzing::run_app()

You can read more on how to use the tenzing app in vignette("app_use").

Using the package

You can read more on how to use the tenzing package to create reports from R in vignette("local_use").

Contribution

We are open to new ideas and feature requests. We think Tenzing has the potential to make additional contributorship-related tasks easy for researchers.

Please note that the ‘tenzing’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.