hsf-training-reana-webpage
Let's make your analysis reproducible with REANA
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (14.6%) to scientific vocabulary
Keywords
Repository
Let's make your analysis reproducible with REANA
Basic Info
- Host: GitHub
- Owner: hsf-training
- License: other
- Language: Makefile
- Default Branch: gh-pages
- Homepage: https://hsf-training.github.io/hsf-training-reana-webpage/
- Size: 4.85 MB
Statistics
- Stars: 1
- Watchers: 7
- Forks: 3
- Open Issues: 2
- Releases: 0
Topics
Metadata Files
README.md
<!-- ALL-CONTRIBUTORS-BADGE:END -->
Reproducible analyses with REANA
Note Click here for the training website!
REANA is a reproducible analysis platform allowing scientists to run containerised data analysis pipelines on remote compute clouds.
📅 Past events and videos
Emoji key: 🎥 (full video recordings availabile), ⛏️ (hackathon)
🤗 Contributing
We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
If you make non-trivial changes (i.e., more than fixing a simple typo), you are eligible to be added to the HSF Training Community page, as well as to the list of contributors below.
We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.
Quick summary of how to get a local preview: Install jekyll and then run
bundle install
bundle update
bundle exec jekyll serve
Unless we change framework versions, only the last command needs to be typed after the first time.
Before committing anything, we also ask you to install the pre-commit hooks of this repository:
bash
pip3 install pre-commit
pre-commit install
Please see the current list of issues for ideas for contributing to this
repository. For making your contribution, we use the GitHub flow, which is
nicely explained in the chapter Contributing to a Project in Pro Git
by Scott Chacon.
Look for the tag 
, which marks particularly simple issues to get you started.
💖 Authors
This lesson was written by:
 Tibor Šimko 🖋 |
Thanks also goes to these wonderful people (emoji key) for additional contributions:
Tibor Šimko 🖋 |
Even more people contributed to the framework, but they are too many to list! Instead, all regular contributors are listed on our HSF Training Community page.
Owner
- Name: HEP Software Foundation Training Material
- Login: hsf-training
- Kind: organization
- Email: hsf-coordination@googlegroups.com
- Website: https://hepsoftwarefoundation.org/training/
- Twitter: HsfTraining
- Repositories: 28
- Profile: https://github.com/hsf-training
Training and educational material for the high energy physics community.
Citation (CITATION)
Lesson on reproducible analyses at the Analysis Preservation Bootcamp, Geneva, Switzerland, 17-19 February 2020. URL: <https://indico.cern.ch/event/854880/>
GitHub Events
Total
- Delete event: 1
- Issue comment event: 3
- Push event: 7
- Pull request event: 7
- Pull request review event: 1
- Create event: 2
Last Year
- Delete event: 1
- Issue comment event: 3
- Push event: 7
- Pull request event: 7
- Pull request review event: 1
- Create event: 2