https://github.com/marton-balazs-kovacs/tenzing
tenzing: documening contributorship with CRediT
https://github.com/marton-balazs-kovacs/tenzing
contributor-roles rpackage shinyapp
Last synced: 5 months ago
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tenzing: documening contributorship with CRediT
- Host: GitHub
- URL: https://github.com/marton-balazs-kovacs/tenzing
- Owner: marton-balazs-kovacs
- License: other
- Created: 2020-04-19T12:34:31.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2024-03-12T21:12:13.000Z (about 1 year ago)
- Last Synced: 2024-05-22T15:22:38.018Z (11 months ago)
- Topics: contributor-roles, rpackage, shinyapp
- Language: HTML
- Homepage: https://marton-balazs-kovacs.github.io/tenzing/
- Size: 3.28 MB
- Stars: 52
- Watchers: 6
- Forks: 4
- Open Issues: 29
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- jimsghstars - marton-balazs-kovacs/tenzing - tenzing: documening contributorship with CRediT (HTML)
README
---
output: github_document
---```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```# tenzing
[](https://www.tidyverse.org/lifecycle/#experimental)
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](http://credit.niso.org/) (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 `papaja`package 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://tenzing.club/](https://tenzing.club/).
You can alternatively run the app locally on your own computer by following these instructions:
Install the development version (tenzing is not available from CRAN) from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("marton-balazs-kovacs/tenzing")
```Running the app.
``` r
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](CODE_OF_CONDUCT.md).
By contributing to this project, you agree to abide by its terms.
