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Find and Use Data

Researchers often store and publish their data in so-called repositories, i.e. digital archives. There are thousands of repositories that make data openly accessible so that it can be used for one's own research.

To learn more, watch our Video on Data Reuse and Discovery.

Finding the Right Repository

There are generic, institutional and discipline-specific repositories. The best way to find existing data for reuse is by searching in discipline-specific repositories. How to start your search:
 

  • Ask the community or a data steward to find repositories used in your discipline.
    Data Stewards
  • Look through the list of recommended repositories of research funders : Both the Swiss National Science Foundation (SNSF) and the European Commission maintain lists of subject-specific data repositories:
    List of repositories by the SNSF 
    List of repositories by the European Commission
  • Use the platform re3data.org to start your research. The platform is currently the most important and largest registry of research repositories world-wide: re3data.org

Use the following filters on re3data.org

  • Subject = filter by discipline
  • Data Licenses = data are licensed for reuse
  • Data Access = data are openly accessible
  • PID (persistent identifier) = the repository assigns persistent identifiers to its objects, e.g. DOIs.

Finding the Right Data

Once you have found a relevant repository, you can limit the search for a suitable dataset further.

1. Identify relevant keywords and search terms

Be sure to narrow down this list as much as possible, e.g. only look for keywords in abstract and title but not also in author name or categories.

More information: UB UZH's Good search tips

2. Evaluate datasets for their technical and legal reusability

Choose data in open formats and with a license that allows for re-use .

More information on:data formats (by ETH library) and licenses.

3. Evaluate the quality of data documentation

The more you know about a dataset from the documentation, the better you can assess the suitability of the data for your own project.


How Do I Reuse Data?

To reuse the data you must also comply with the terms and conditions of the license.

What are licenses

For further processing (and proper data management) you would also document your reuse and then cite the data in the publication.

Data documentation

How to Cite Data Sources?

Sometimes the repository indicates how the data should be cited. If the dataset comes with a DOI, you can use crosscite  to create a citation.

Generally we recommend to include the following information in a citation:
Creator (PublicationYear): Title. Publisher. (resource type). Identifier. 

Example:
Pidgeon, Nicholas and Demski, Christina and Stuart, Capstick and Alexa, Spence and Sposato, Robert (2016). Public perceptions of climate change and personal experience of flooding. [Data Collection]. Colchester, Essex: UK Data Archive. 10.5255/UKDA-SN-851835


Do You Have Technical Questions?

Science IT supports UZH researchers in technical matters for software solutions, data storage, data management and data visualization.

Do You Have Domain-Specific Questions?

Get in touch with a data steward: Data Stewards Network


Additional Information

Questions about research data management?

Christian Futter, Dr.
Elisabeth-Christine Gamer, Dr.
Melanie Röthlisberger, Dr.
Stefanie Strebel, Dr.

data@ub.uzh.ch

Tel. +41 44 635 47 49

We offer trainings, workshops and support for research data management and writing DMPs.

Research Data from Switzerland

More about Research Data from Switzerland

SWISSUbase is a national repository of social science data and is co-built by the University of Zurich.