Science Score: 57.0%
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 2 DOI reference(s) in README -
○Academic publication links
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○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 (9.1%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: kalawinka
- Language: R
- Default Branch: main
- Size: 303 KB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
This readme describes the survey data and cleaning/analysis scripts of our quantitative online survey which we performed in our project OASE. The results have been published as Biesenbender et al. 2024, see reference below.
"If you use this data and scripts, please cite it as below."
Biesenbender, K., Smirnova, N., Mayr, P., & Peters, I. (2024). The Emergence of Preprints: Comparing Publishing Behaviour in the Global South and the Global North. Online Information Review. https://doi.org/10.1108/OIR-04-2023-0181
Data Description:
Eco, ocean and soc in the names of all files stand for economics, oceanography and sociology.
raw_data
The folder raw_data contains unaltered answers to the three surveys: files resultscode[discipline].csv_cleaned.csv. Columns containing information revealing the survey participants' personal data and identity were removed from these datasets.
Files [discipline]headercodes.csv contains a description of the coded fields from the files with the answers to the survey.
analysis
The folder analysis contains data and R-script used for the data analysis and creating plots. Files comparison.csv, deposited.csv, and not_deposited.csv are the helper data with labels for question groups on publishing behaviour, motivations for depositing and not depositing preprints for the analysis and plots building script in R. Files [discipline]_cleaned.csv contain cleaned data used for the analysis.
cleaning
The folder cleaning contains cleaning scripts in Python used to clean and prepare data for the analysis. Our questionnaires contained free-text answer possibilities to the questions concerning career status and institution type. That has led to an increased number of different category types in these fields, making it difficult to conduct an analysis. We normalized these answers and concatenated some of them into one category. The file [discipline]careernormalization.csv contains normalization for career status. The file [discipline]institutionnormalization.csv contains normalization for institution type.
Acknowledgment
This work is funded by the German Federal Ministry of Education and Research (BMBF) project Open Access Effects – The Influence of Structural and Author-specific Factors on the Impact of OA (OASE), grant numbers 16PU17005A and 16PU17005B.
Owner
- Login: kalawinka
- Kind: user
- Repositories: 2
- Profile: https://github.com/kalawinka
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this data and scripts, please cite the paper below." authors: - family-names: "Biesenbender" given-names: "Kristin" - family-names: "Smirnova" given-names: "Nina" - family-names: "Mayr" given-names: "Philipp" - family-names: "Peters" given-names: "Isabella" title: "The Emergence of Preprints: Comparing Publishing Behaviour in the Global South and the Global North" doi: 10.1108/OIR-04-2023-0181 date-released: 2024-01-15 url: "https://doi.org/10.1108/OIR-04-2023-0181"