Open Research Data

To improve accessibility, transparency, and reproducibility of scientific research, an article’s underlying data and metadata need to be carefully curated, stored, and shared as openly as possible by depositing them onto existing public repositories in formats that anyone can find, access and reuse without restriction.

Only repositories that follow the FAIR (Findable, Accessible, Interoperable, and Reusable) data principles are accepted. 

Check the global registry of research data repositories re3data.org to find a suitable repository for your data.

Datasets can be uploaded to a general repository, e.g., Zenodo or OLOS, or to a discipline-specific repository.

The SNSF provides a list of examples of data repositories that fulfill their requirements.

Note: Github, a commercial platform for code development, is not a data archiving tool. Therefore, a copy of the code has to be archived in a data repository. For instance, you can connect to ensure a permanent record of your code and make it citable.

 Read more about the repositories on the SNSF webpage.   

  Preparing a research paper for submission and have questions about the datasets organization and publishing? Contact barbara.drasler@unifr.ch