https://github.com/annakrystalli/rrresearch
Materials associated with ACCE course on Research Data & Project Management @ the University of Sheffield
Science Score: 26.0%
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Low similarity (9.7%) to scientific vocabulary
Keywords
Repository
Materials associated with ACCE course on Research Data & Project Management @ the University of Sheffield
Basic Info
- Host: GitHub
- Owner: annakrystalli
- Language: R
- Default Branch: master
- Homepage: https://annakrystalli.me/rrresearch/.
- Size: 97.7 MB
Statistics
- Stars: 4
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Reproducible Research in R
This course is funded by NERC through the ACCE Doctoral Partnership program
Course description
In order to ensure robustness of outputs and maximise the benefits of ACCE research to future researchers and society more generally, it is important to share the underlying code and data. But for sharing to have any impact, such materials need to be created FAIR (findable, accessible, interoperable, reusable), i.e. they must be adequately described, archived, and made discoverable to an appropriate standard.
Additionally, if analyses are to be deemed robust, they must be at the very least reproducible, but ideally well documented and reviewable.
R and Rstudio tools and conventions offer a powerful framework for making modern, open, reproducible and collaborative computational workflows more accessible to researchers.
This course focuses on data and project management through R and Rstudio, will introduce students to best practice and equip them with modern tools and techniques for managing data and computational workflows to their full potential. The course is designed to be relevant to students with a wide range of backgrounds, working with anything from relatively small sets of data collected from field or experimental observations, to those taking a more computational approach and bigger datasets.
By the end of the workshop, participants will be able to:
Understand the basics of good research data management and be able to produce clean datasets with appropriate metadata.
Manage computational projects for reproducibility, reuse and collaboration.
Use version control to track the evolution of research projects.
Use R tools and conventions to document code and analyses and produce reproducible reports.
Be able to publish, share materials and collaborate through the web.
Understand why this all matters!
Enter Course site
This work is licensed under a Creative Commons Attribution 4.0 International License.
Owner
- Name: Anna Krystalli
- Login: annakrystalli
- Kind: user
- Location: Syros, Greece
- Company: @r-rse
- Website: https://www.r-rse.eu
- Twitter: annakrystalli
- Repositories: 240
- Profile: https://github.com/annakrystalli
Research Software Engineering Service in #rstats at @r-rse. Ex @RSE-Sheffield. Editor @ropensci. Core team member @reprohack. Available for hire! 🚀😎
GitHub Events
Total
Last Year
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Anna Krystalli | a****i@g****m | 61 |
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total 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
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