We are a data infrastructure for the social science community in Austria and offer a variety of research support services, primarily data archiving and help with data re-use. We make social science data accessible, creating opportunities for research and data reuse, benefitting science and society.


Thank you for getting in touch and your interest in our services! Due to the COVID-19 pandemic, the AUSSDA Team is at home in telework. 

What does this mean for you?

  • In our AUSSDA Dataverse you can find and access data as usual. Many of our datasets can also be used for teaching and e-learning, e.g. data collected by the Austrian National Election Study (AUTNES) or the Social Survey Austria (SSÖ-ISSP). 
  • AUSSDA will continue to provide the full-range of services, please bear in mind that delays may occur. 
  • Until further notice, meetings of any kind as well as consultations will be held via telework options available.
  • For inquiries and requests, we kindly ask you to contact us at info@aussda.at or refer to the contact details on our website here. You can best reach us via e-mail.  

Please note that we will be posting any updates on our website and Twitter, and don’t hesitate to contact us if you have any further questions. 

We wish you all the best in these trying times and hope to see you again very soon!

 What's new?

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Have you ever wondered how social science questionnaires were formulated in Austria in 1955? What were main research fields in the 1980s? Are you looking for general election exit poll data from the 90s?


AUSSDA attended this year's Dataverse Community Meeting at Harvard University to present pyDataverse, a newly developed tool for our data repository Dataverse, to 180 participants.


As part of a project, Corinna Mayerl and her colleagues at SORA have developed 25 voter transition analyses based on the election results of all national elections in Austria since 1919. The election results are now available in the AUSSDA Dataverse.


Scientific work is associated with many citations. Literature presents only one of many types of sources. But how does one cite data correctly?


EOSC-Pillar will help to build the European Open Science Cloud, one of the most ambitious research infrastructure initatives of our time. AUSSDA at the Vienna University Library leads a work package, which surveys national open research data undertakings in five countries.


Metadata – information on research data – are of great importance to ensure that one can find and reuse data. In Europe, metadata follow a standard set by the CESSDA ERIC Metadata Office.

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