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University Library Zurich

Store and Publish Data

Due to the Open Science Movement the publishing of one's own research data has increasingly become part of the research process itself. Research funders, such as the SNSF, but also publishers now require their grantees and authors to publish their data together with the publication. The University Library's Open Science Services support you in making your data open.

What Is Important When Publishing Data?

To make your data FAIR and to ensure that others can access and use your data, the data should be:

  • described systematically (consistently) and in detail
  • documented with metadata (more on data documentation)
  • findable (e.g. by uploading it on a well-known repository)
  • citable (e.g. by assigning a persistent identifier such as a DOI)
  • published in an open format (see recommended open formats by EPFL)
  • licensed as openly as possible while taking data protection issues into account (more on licensesand data protection )

Where Do I Publish My Data?

In order for others to be able to reuse your research data, you upload it to a repository, that is, a digital archive. There are three types of repositories:

  • discipline-specific repositories
  • institutional repositories
  • generic repositories

What Functions Does the Repository Need to Fulfil?

You are on the safe side if your repository:

  • is used by your research community
  • supports the upload of your data type
  • is easily findable via search engines
  • assigns persistent identifiers (PIDs) such as DOIs or allows ORCiD IDs
  • allows for or even requires rich and structured metadata (data documentation)
  • allows for different access regulations
  • requires the choice of a license

Source: Fact Sheet Research Data Repositories

How to Find the Right Repository?

The easiest way to publish your data is by sharing it via a discipline-specific repository:

  • Ask around in your community to find out which repositories are frequently used.
  • is another good starting point for your research. is currently the most important and largest registry of research data repositories world-wide.
  • Recommended repositories of funding agencies: The SNSF and the European Research Commission provide lists of recommended data repositories for their grantees.

Careful with Personal and Sensitive Data

If you work with personal and sensitive data, you will need to consider issues of data protection before sharing or publishing your data. Contact your institute's IT coordinator to safely store sensitive data during your project.

More information: The Swiss Competence Center for Social Sciences FORS offers webinars and documents on data anonymization, informed consent, and on working with sensitive or personal data.

For any other questions related to working with sensitive data, contact us at

Requirements of the SNSF

The SNSF requires that research data arising from a research project be archived and made available to other researchers, provided that there are no legal, ethical or copyright reasons, confidentiality clauses or similar that prevent this.

Requirements of the SNSF

Recommended data repositories by the SNSF

Long-term archiving

The Central IT offers the possibility to archive your data for the longer-term. Contact your institute's IT coordinator to ask for details.

Formats for archiving by ETHZ

Weiterführende Informationen

Questions about research data management?

Elisabeth-Christine Gamer, Dr.

Melanie Röthlisberger, Dr. 

Florian Steurer, MA

Stefanie Strebel, Dr.

Book us for tailor-made training events at your institute!

Swiss Research Data

The Language Repository of Switzerland (LaRS) is a national platform for the publication of linguistic research data. LaRS uses SWISSUbase as its repository system.  SWISSUbase is a national repository of social science data.

Questions about SWISSUbase?