fair-ca-visualization
Computational models are essential tools for studying complex systems which, particularly in clinical settings, need to be quality-approved and transparent. A community-driven approach to enhance the transparency and communication of model features is adherence to the principles of Findability, Accessibility, Interoperability and Reusability (FAIR). The FAIR COMBINE Archive Indicators (FAIR-CA) adapt the FAIR indicators published by the Research Data Alliance to assess the FAIRness of models encoded in domain-specific standards, such as those established by COMBINE.
The FAIR COMBINE Archive Indicators project is available from https://github.com/FAIR-CA-indicators/FAIR-CA-indicators.github.io.
fair-ca-visualization visualizes FAIR-CA assessments interactively. The app is available from https://faircombine.streamlit.app, the documentation from https://matthiaskoenig.github.io/fair-ca-visualization.
Installation
To run the app locally, install the package from PyPI (python 3.14) and start it with fairvis:
uv tool install fair-ca-visualization
fairvis
See the installation guide for pip and for running from a checkout, and contributing for the development setup.
How to cite
König M. fair-ca-visualization: interactive visualization of the FAIR COMBINE Archive Indicators. Zenodo. doi:10.5281/zenodo.13755820
@software{fair_ca_visualization,
author = {König, Matthias},
title = {fair-ca-visualization: interactive visualization of the FAIR COMBINE Archive Indicators},
publisher = {Zenodo},
doi = {10.5281/zenodo.13755820},
url = {https://doi.org/10.5281/zenodo.13755820}
}
License
- Source Code: MIT
- Documentation: CC BY-SA 4.0
Funding
Matthias König (MK) was supported by the Federal Ministry of Education and Research (BMBF, Germany) within the research network Systems Medicine of the Liver (LiSyM, grant number 031L0054). MK is supported by the Federal Ministry of Education and Research (BMBF, Germany) within ATLAS by grant number 031L0304B and by the German Research Foundation (DFG) within the Research Unit Program FOR 5151 QuaLiPerF (Quantifying Liver Perfusion-Function Relationship in Complex Resection - A Systems Medicine Approach) by grant number 436883643 and by grant number 465194077 (Priority Programme SPP 2311, Subproject SimLivA).
© 2024 - 2026 Matthias König
1 maintainer
Metadata
1 maintainer
Release files for fair-ca-visualization 0.4.0
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