https://github.com/scicatproject/frontend
SciCat Project Official Frontend
https://github.com/scicatproject/frontend
data-catalog data-management doi metadata-catalog
Last synced: 5 months ago
JSON representation
SciCat Project Official Frontend
- Host: GitHub
- URL: https://github.com/scicatproject/frontend
- Owner: SciCatProject
- License: bsd-3-clause
- Created: 2017-10-10T07:29:13.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2026-01-12T14:19:11.000Z (5 months ago)
- Last Synced: 2026-01-12T16:57:57.738Z (5 months ago)
- Topics: data-catalog, data-management, doi, metadata-catalog
- Language: TypeScript
- Homepage: https://www.scicatproject.org
- Size: 49.2 MB
- Stars: 27
- Watchers: 11
- Forks: 35
- Open Issues: 113
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Codeowners: .github/CODEOWNERS
- Zenodo: .zenodo.json
Awesome Lists containing this project
README
# Frontend: SciCat GUI

[](https://github.com/SciCatProject/frontend/actions)
[](https://deepscan.io/dashboard#view=project&tid=8394&pid=21314&bid=609376)
[](https://snyk.io/test/github/SciCatProject/frontend/master?targetFile=package.json)
[](https://zenodo.org/badge/latestdoi/106383330)
[](https://github.com/prettier/prettier)
## Summary
SciCat is a data catalogue web application to provide a searchable interface for datasets, publish DOIs,
as well as the option to carry out actions (i.e. archiving and publishing) and acts as a place to reference datasets used in publications.
For the full documentation please go to the [SciCat home page](https://scicatproject.github.io/) and follow the [documentation link](https://scicatproject.github.io/documentation)
## Configuration
- [Site logo related images](SITE-LOGO-CONFIGURATION.md)
## Get started
1. Ensure you have Node.js 18+ and npm installed (https://nodejs.org/en).
2. `git clone https://github.com/SciCatProject/frontend.git`
3. `npm install`
4. `npm run start`
## License
See the [LICENSE](LICENSE) file for details.
## Acknowledgments
Scicat is developed at PSI, ESS and MAXIV with in-kind funding from ESS and from the European Union Framework Programme for Research and Innovation Horizon 2020, under grant agreement 676548, “BrightnESS”.