Research Data Management Strategy: Publish

• Use open licenses (CC0 and CC-BY, or their equivalents, are required in most cases learn more). If human derived data is considered sensitive (e.g. risk of participant identification, controls on specific uses, etc), data can be shared under Data Usage Agreements (DUAs). Avoid the use of more restrictive CC licenses - containing SA, NC or ND clauses - unless applied to third party data that has been re-used and the original license needs to be retained. 
   
• Allow public access to data without barriers, such as formal application processes, unless required for sensitive human datasets requiring controlled access and Data Usage Agreements.
   
• All data should be available for peer review. Where logins or other barriers are required or temporarily applied, routes for confidential peer review of submitted datasets should be provided that do not reveal the identity of the reviewer to the data owner/author of the associated article. Please consult with the repository to arrange this, or provide the data in a temporary location for peer review. 
   
• Ensure long-term persistence and preservation of datasets in their published form. All Data Descriptors need to be associated with live data, so long term preservation and persistence is required to avoid future correction or other action to ensure the integrity of the paper. 
   
• Provide stable persistent identifiers for submitted datasets. DOIs are the default.
   
• Subject specific repositories that are supported and recognized within their scientific community are best - general repositories should be used where no suitable subject repository is available, or the repository does not meet the requirements above. 

From: Data Repository Guidance | Scientific Data (nature.com)