- Where suitable domain-specific repositories do not exist, authors may deposit in either Dryad, Dataverse, the Open Science Framework, or an institutional repository and provide the access information with the manuscript. Alternately, authors may choose to deposit non-standard data (including figures, posters, rich media) on Figshare or PeerJ Preprints, for example. In all cases, the DOI reference (where applicable) should be provided in the article.
- Any supporting data sets for which there are no suitable repositories may be made available as publishable Supplemental Information files by PeerJ Computer Science.
- Data should be provided in an appropriate, machine-readable format. Note: formats such as PDF, Powerpoint, and images of tables etc. are not considered suitable for raw data sharing.
- In accordance with the principles in Sharing Publication-Related Data and Materials (National Academies Press, 2003), research using proprietary data must also evaluate a piece of comparable public data if the authors cannot or do not make the proprietary data available.
- We strongly encourage that the software be made open source, available under an appropriate license, and deposited in an appropriate archive.
These policies are made available under the Creative Commons CC BY 4.0 license and can be copied for reuse with attribution.