2020-07-13-containers-online
The rendered course content is available at https://imperialcollegelondon.github.io/2020-07-13-Containers-Online
https://github.com/imperialcollegelondon/2020-07-13-containers-online
Science Score: 28.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
✓Committers with academic emails
12 of 52 committers (23.1%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (10.0%) to scientific vocabulary
Keywords from Contributors
Repository
The rendered course content is available at https://imperialcollegelondon.github.io/2020-07-13-Containers-Online
Basic Info
Statistics
- Stars: 3
- Watchers: 3
- Forks: 2
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
Containers for reproducible research
This course aims to introduce the use of containers with the goal of using them to effect reproducible computational environments. Such environments are useful for ensuring reproducible research outputs and for simplifying the setup of complex software dependencies across different systems. The course will mostly be based around the use of Docker containers but the material will be of use for whatever container technology you plan to, or end up, using. We will also briefly introduce the Singularity container environment which is compatible with Docker and designed for use on multi-user systems (such as HPC resources). On completion of this course attendees should:
- Understand what containers are and what they are used for
- Understand how to manage and create Docker containers
- Appreciate decisions that need to be made around containerising research workflows
- Understand the differences between Docker and Singularity containers and why Singularity is more suitable for multi-user systems (e.g. HPC)
- Understand how to manage and create Singularity containers
- Appreciate how containers can be used to enable and improve reproducibility in research
This course is based on the original containers course that was originally run at "ResBaz Dunedin 2019".
This is not an official Carpentries lesson, but the Carpentries lesson template is excellent, so we are using it.
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.
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.
Maintainer(s)
- David Eyers, University of Otago, NZ
- Sarah Stevens
- Andy Turner, EPCC, The University of Edinburgh, UK
- Jeremy Cohen, Imperial College London, UK
Authors
A list of contributors to the lesson can be found in AUTHORS
Citation
To cite this lesson, please consult with CITATION
Owner
- Name: Imperial College London
- Login: ImperialCollegeLondon
- Kind: organization
- Email: icgithub-support@imperial.ac.uk
- Location: Imperial College London
- Repositories: 311
- Profile: https://github.com/ImperialCollegeLondon
Imperial College main code repository
Citation (CITATION)
Please cite as: David Eyers, Sarah Stevens, Andy Turner and Jeremy Cohen, Containers for reproducible research [Training course]
GitHub Events
Total
Last Year
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Greg Wilson | g****n@t****m | 95 |
| François Michonneau | f****u@g****m | 85 |
| Raniere Silva | r****e@r****m | 67 |
| Andy Turner | a****r@e****k | 58 |
| David Eyers | d****e@c****z | 54 |
| Jeremy Cohen | j****n@i****k | 36 |
| Maxim Belkin | m****n@g****m | 36 |
| Abigail Cabunoc | a****c@o****a | 25 |
| Raniere Silva | r****e@i****r | 24 |
| Katrin Leinweber | 9****r | 13 |
| Chris Erdmann | c****s@c****g | 8 |
| Rémi Emonet | r****t@r****e | 5 |
| Christopher Cave-Ayland | c****d@i****k | 4 |
| David Mawdsley | d****y@m****k | 4 |
| Piotr Banaszkiewicz | p****r@b****g | 4 |
| William L. Close | w****e | 3 |
| Michael R. Crusoe | 1****c | 3 |
| Joseph Stachelek | j****a | 3 |
| Raniere Silva | r****7@i****r | 2 |
| Erin Becker | e****r@g****m | 2 |
| Nick Young | n****g@a****z | 2 |
| evanwill | e****w@g****m | 2 |
| Tracy Teal | t****t@i****g | 2 |
| Jonah Duckles | j****h@d****g | 2 |
| Jon Pipitone | j****e@u****a | 2 |
| James Allen | j****8@g****m | 2 |
| Ian Lee | l****1@l****v | 2 |
| Brandon Curtis | b****s@g****m | 2 |
| Trevor Keller | t****r@n****v | 1 |
| W. Trevor King | w****g@t****s | 1 |
| and 22 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 4
- Total pull requests: 6
- Average time to close issues: 3 days
- Average time to close pull requests: about 3 hours
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 2.0
- Average comments per pull request: 0.5
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- cc-a (4)
Pull Request Authors
- cc-a (4)
- jcohen02 (2)