EVERSE Research Software Fairness Checks
Project description
Research Software FAIRness Checks (RSFC)
A command line interface to automatically evaluate the fairness of a Github or Gitlab repository.
Authors: Daniel Garijo, Andrés Montero
Features
Given a repository URL, RSFC will perform a series of checks based on a list of research software quality indicators (RSQI). The RSQIs currently covered by the package are:
- software_has_license
- software_has_citation
- has_releases
- repository_workflows
- version_control_use
- requirements_specified
- software_documentation
- persistent_and_unique_identifier
- descriptive_metadata
- software_tests
- archived_in_software_heritage
- versioning_standards_use
- support_issue_tracking
- has_contribution_guidelines
For more information about these RSQIs, you can check https://github.com/EVERSE-ResearchSoftware/indicators. We have plans to implement all of the RSQIs available in that repository.
Available tests
RSFC offers a catalogue of its tests that you can check here
Note: The short names stated in the catalogue will be the identifiers needed to run single-test assessments. More information later in the README
Requirements
Python 3.10.8 or higher
Dependencies are available in the requirements.txt or pyproject.toml file located in the root of the repository
Install from PyPI
Just run in your terminal the following command:
pip install rsfc
Install from Github with Poetry
To install the package, first clone the repository in your machine. This project uses Poetry for dependency and environment management.
git clone https://github.com/oeg-upm/rsfc.git
Go to the project's root directory
cd rsfc
Install Poetry (if you haven’t already)
curl -sSL https://install.python-poetry.org | python3 -
Make sure Poetry is available in your PATH
poetry --version
Create the virtual environment and install dependencies
poetry install
Activate the virtual environment (Optional)
source $(poetry env info --path)/bin/activate
Your terminal prompt should now show something like:
(rsfc-py3.11) your-user@your-machine rsfc %
With virtual environment activated you can tried like this:
rsfc --help
Without poetry virtual environment activated you need to use the poetry run:
poetry run rsfc --help
Usage
Before anything, RSFC uses SOMEF internally. If this is your first time working with somef, you should run the following command in the root directory of the project:
somef configure -a
Now, you can use the package by running if you activated the poetry env
rsfc --repo <repo_url>
or like this without the poetry env
poetry run rsfc --repo <repo_url>
If you want the output in OSTrails format, you can use the following flag
rsfc --repo <repo_url> --ftr
And additionally, if you want to run only one test, you can indicate the test identifier when running RSFC like this
rsfc --repo <repo_url> --id <test_id>
RSFC also offers the possibility of using a personal Github token to avoid a rate limit issue with the Github API
rsfc --repo <repo_url> -t <token>
RSFC Badge
Below the output table you will find a README badge that states what the total FAIR coverage you got in your assessment. It is already adapted to Markdown so you will just need to copy it.
How is the coverage calculated?
The coverage is simply the rounded average percentage of the total tests passed. For example, if you passed 20 tests, the coverage will be (20/33)*100 = 61%
Docker installation
RSFC also offers a Dockerfile which you can build using the following commmand:
docker build -t --no-cache -t rsfc-docker .
For comodity, we provide a bash script that runs the container along with the necessary configurations. To execute it just run
./run_rsfc.sh --repo <repo_url> [--ftr] [--id <test_id>] [-t <token>]
The parameters used for the script are the same as if you executed RSFC normally
RSFC GitHub Action
This repository provides a reusable GitHub Action to run RSFC on a given repository.
Workflows
There are two key workflows:
-
run-rsfc.yml:
Defines the main RSFC execution logic.
Note: This workflow cannot be triggered directly because it useson: workflow_call.
It is designed to be reusable and must be invoked from another workflow. -
use-rsfc.yml:
A workflow file that triggersrun-rsfc.yml. It must be placed in each repository that you want to analyze, since the repository whereuse-rsfc.ymlis hosted is the one that will be processed.
No additional inputs are required because the repository context is automatically passed by thecall. This workflow can be triggered manually (workflow_dispatch) or automatically (e.g., onpushevents).- Secrets:
RSFC_TOKENis optional but recommended if you plan to run multiple analyses or expect heavy usage. It allows RSFC to access private repositories and avoid rate limits.
Usage
To use RSFC in a repository:
- Copy
use-rsfc.ymlinto.github/workflows/of the repository you want to analyze. - Ensure that the required secrets are defined (see below).
- No inputs are needed — the workflow automatically uses the repository it resides in.
Viewing RSFC Results in a Pull Request
When a Pull Request is opened or updated, the RSFC workflow runs automatically and adds a neutral check named RSFC Results Summary.
This check displays:
- the formatted RSFC console output, including the full assessment table
- a link to the workflow job that executed the analysis
Accessing the JSON report
The workflow also generates an artifact named rsfc_assessment.json.
To download it:
- Open the Checks tab of the Pull Request
- Select the job Run RSFC Analysis
- Download the artifact from the Artifacts section
Example:
name: Run RSFC analysis
on:
workflow_dispatch:
pull_request:
types: [opened, synchronize, reopened]
jobs:
run-rsfc-checks:
uses: oeg-upm/rsfc/.github/workflows/run-rsfc.yml@main
with:
repo_url: https://github.com/${{ github.repository }}
is_fork: ${{ github.event.pull_request.head.repo.full_name != github.repository }}
pr_sha: ${{ github.event.pull_request.head.sha }}
secrets:
RSFC_TOKEN: ${{ secrets.RSFC_TOKEN }}
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