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Comment: added example for citing research data


titlePreparing data and metadata

As a researcher, you should make reasonable efforts to clean up your data and provide metadata (e.g. authors, title, topic etc.). The metadata should provide a thematic overview of your research data, including information on their development, methods used and legal aspects.

Metadata allow your data to be located via a search of the Research Collection, the ETH Library search portal and other search engines, and also makes it easier for you, and others, to gain an overview of said data.

Enhanced metadata also include the documentation of your data’s thematic context, which is designed to enable its subsequent reuse. The choice of an appropriate data format may also significantly facilitate the reuse and preservation of the data.

The Step-by-Step Guide on Data Publication for ETH Zurich Researchers supports you with documenting your metadata and datasets and with preparing them for publication in a FAIR data repository.

You should also keep the following in mind:

  • Pack the folder structures into ZIP or tar container files.
  • Avoid password protection, encryption and compression if possible.
  • Ensure that the path length does not exceed 200 characters.
  • Avoid special characters in file names.
  • Ensure that file extensions are consistent with the file format.


titleSubmission to the Research Collection

All data produced in the context of your research at ETH Zurich can be published and archived in the Research Collection. As the data producer, you may select all crucial publication parameters such as access rights and end user licence independently. After undergoing an internal evaluation by ETH Library staff, your data will be published promptly.

What benefits does the Research Collection offer to data producers?

  • Flexible access rights, from “open access” to “access upon request”.
  • Registration of Digital Object Identifiers (DOIs) and DOI advance assignment
  • Daily download statistics and altmetrics for your published data
  • All formats are authorised for upload
  • Contents preview for ZIP and tar containers
  • Link to GrantIDs of EU and SNSF projects, plus export to the EU portal OpenAIRE
  • Long-term data accessibility
  • The Research Collection’s so-called “dark archive”, the ETH Data Archive is the backbone of data curation. The data you submit to the Research Collection are automatically archived for the long term in the ETH Data Archive (except for data deposited via Libdrive).

titleAccess rights and reuse

When you submit your data, you can choose who has access rights to the information:

  • Open access: freely accessible
  • Embargo: free access after an embargo period determined by you
  • Members of ETH Zurich: access with ETH login only
  • Selected users: access for a specific group of people
  • Closed access: storage for archiving purposes only; access limited to the individuals submitting and to authorised specialists at ETH Library.

In the event that access restrictions are implemented, unauthorised individuals may request access to the data via the “request access” function. The Research Collection team will forward such requests to the respective copyright holders in the event that they are still employed at ETH Zurich.

In any case, your research data’s descriptive metadata remain visible and freely accessible in the Research Collection.


titleStorage period

The shortest storage period for research data in the Research Collection is ten years. After the chosen storage period has expired, ETH Zurich University Archives will consult the data producers and decide whether specific data should continue to be stored for historical reasons. For use exceeding ten years, common, open file formats should be used as far as possible.


titleCiting research data and reservation of DOI

All research data and documents published in the Research Collection receive a Digital Object Identifier (DOI) and can thus be permanently addressed and cited.

We recommend that you cite a research dataset with the following minimum specifications:

Creator (PublicationYear): Title. Publisher. Identifier

Swaminathan, R., Ramya, T., Karthik, C.S. (2013): Contortrostatin-Reprolysin Domain Structure. Swiss Institute of Bioinformatics. (Model).

For further information on the correct citation of research data, please consult the DataCite website.

If you wish to refer to a research data set due for publication at a later date in a publication or when submitting a manuscript, you can reserve a DOI in the Research Collection.