repro-data-sci
Science Score: 75.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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✓Institutional organization owner
Organization cct-datascience has institutional domain (datascience.cals.arizona.edu) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.8%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: cct-datascience
- License: cc-by-4.0
- Language: JavaScript
- Default Branch: main
- Homepage: https://cct-datascience.github.io/repro-data-sci/
- Size: 15.3 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 3
- Releases: 2
Created over 2 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
Citation
README.md
repro-data-sci
This repo holds source code for the website for the CCT Data Science Fall Reproducibility and Data Science in R workshop series.
It's made with Quarto and you can preview the site locally with quarto preview.
If you notice an error in the site, please open an issue or make a pull request.
Owner
- Name: CCT Data Science
- Login: cct-datascience
- Kind: organization
- Email: cct-datascience@arizona.edu
- Location: United States of America
- Website: datascience.cals.arizona.edu
- Twitter: cct_datascience
- Repositories: 29
- Profile: https://github.com/cct-datascience
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Reproducibility & Data Science in R
message: >-
If you use this curriculum, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Eric R
family-names: Scott
affiliation: >-
Communications & Cyber Technologies, the Arizona
Experiment Station, University of Arizona
orcid: 'https://orcid.org/0000-0002-7430-7879'
- given-names: Renata
family-names: Diaz
affiliation: >-
Communications & Cyber Technologies, the Arizona
Experiment Station, University of Arizona
orcid: 'https://orcid.org/0000-0003-0803-4734'
- given-names: Jessica
family-names: Guo
affiliation: >-
Communications & Cyber Technologies, the Arizona
Experiment Station, University of Arizona
- given-names: Kristina
family-names: Riemer
email: kristinariemer@arizona.edu
affiliation: >-
Communications & Cyber Technologies, the Arizona
Experiment Station, University of Arizona
orcid: 'https://orcid.org/0000-0003-3802-3331'
repository-code: 'https://github.com/cct-datascience/repro-data-sci'
url: 'https://cct-datascience.github.io/repro-data-sci/'
doi: '10.5281/zenodo.8411612'
license: CC-BY-4.0