https://github.com/alan-turing-institute/das-public
Data availability statements (public repo)
Science Score: 36.0%
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
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 8 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, ncbi.nlm.nih.gov, zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.0%) to scientific vocabulary
Keywords
Repository
Data availability statements (public repo)
Basic Info
- Host: GitHub
- Owner: alan-turing-institute
- License: mit
- Language: Jupyter Notebook
- Default Branch: master
- Size: 177 MB
Statistics
- Stars: 5
- Watchers: 6
- Forks: 7
- Open Issues: 2
- Releases: 3
Topics
Metadata Files
README.md
das-public
Publication
- Preprint: https://arxiv.org/abs/1907.02565.
- Peer reviewed publication: https://doi.org/10.1371/journal.pone.0230416
Blogs and talks: * "A selfish reason to share research data": https://www.turing.ac.uk/blog/selfish-reason-share-research-data
Code and data
- See the dataset folder to create a dataset for analysis from the PubMed Central OA collection.
- See the notebooks and scripts folders to replicate Figure 2 (shown below) and have a descriptive overview of the dataset.
- See the analysis folder to replicate analytical results from the paper. The dataset analysed in the paper is provided, so that the two replication steps can be done independently.
- The figures and resources folders contain supporting files.
Report issues
Please add an issue or notify the authors should you find any error to correct or improvement to make. Well-documented pull requests are particularly appreciated.
How to cite
Colavizza, G., Hrynaszkiewicz, I., Staden, I., Whitaker, K., & McGillivray, B. (2020). The citation advantage of linking publications to research data. PLOS ONE, 15(4), e0230416. https://doi.org/10.1371/journal.pone.0230416
@article{Colavizza_Hrynaszkiewicz_Staden_Whitaker_McGillivray_2020,
title = {The citation advantage of linking publications to research data},
volume = {15},
url = {http://dx.doi.org/10.1371/journal.pone.0230416},
DOI = {10.1371/journal.pone.0230416},
number = {4},
journal = {PLOS ONE},
publisher = {Public Library of Science (PLoS)},
author = {Colavizza, Giovanni and
Hrynaszkiewicz, Iain and
Staden, Isla and
Whitaker, Kirstie and
McGillivray, Barbara},
editor = {Wicherts, Jelte M.Editor},
year = {2020},
month = {Apr},
pages = {e0230416}
}
Owner
- Name: The Alan Turing Institute
- Login: alan-turing-institute
- Kind: organization
- Email: info@turing.ac.uk
- Website: https://turing.ac.uk
- Repositories: 477
- Profile: https://github.com/alan-turing-institute
The UK's national institute for data science and artificial intelligence.
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Issues and Pull Requests
Last synced: over 1 year ago
All Time
- Total issues: 0
- Total pull requests: 12
- Average time to close issues: N/A
- Average time to close pull requests: 4 days
- Total issue authors: 0
- Total pull request authors: 3
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 8
- 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
Pull Request Authors
- KirstieJane (7)
- erik-descilabs (2)
- Giovanni1085 (1)