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Are the data publicly available? If not all, can a summary of them be made publicly available?
- If space is an issue you can subsample the data for demonstration purposes, or store at least an intermediate dataset.
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Are they in a format easily accessible by open source software libraries or following a community convention?
- Storing data in library-specific formats such as.npy,.mat, or.RDatacan prevent users from accessing the data. Switch to library-agnostic formats such as.csv,.nc, etc.
- Check if there is a community convention for storing the data within your field? Contribute feedback.
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Are the data stored with the corresponding metadata?
- Ensure the versions of the data and metadata align.
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Do they have a license that permits broad use?
- Learn more about data licenses
- You can state people using your data cite your project
- If the data was obtained from a partner, what is the data sharing agreement?
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Are they permanent, or do they have versions?
- Do you specify the version or the time stamp when the data were retrieved?
- Note DOIs can have versions
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For how long can they be stored at their current location?
- If you used a temporary location, but retrieved from a public repository, provide the steps on how you retrieved the data.
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