AUSSDA - The Austrian Social Science Data Archive

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. Since July 2020, we have been certified with the Core Trust Seal (CTS) as a "trustworthy data repository".

Get data here!

We archive a variety of social science data. The AUSSDA Dataverse is divided into several collections. Find all data sets archived with us easily online! Our user guide helps you with finding and downloading the data.

Teaching and learning with AUSSDA data - discover our new Dataverse!

Are you a lecturer and would like to find suitable data sets for teaching with just one click? Or are you a student looking for data for your thesis? We have compiled relevant datasets for you in one place. Find the overview and recommendations from methods lecturers here!

 What's new?

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Data
 

If you would like to archive your data with us, there are a few steps that still have to be taken before publication in the AUSSDA Dataverse.

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CESSDA ERIC
 

Large Horizon 2020 project "Social Sciences and Humanities Open Cloud" (SSHOC) with Austrian participation strengthens Open Science in the social sciences and humanities.

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Inside AUSSDA
 

The year 2018 was an intensive creative year for AUSSDA. It is time for a short review... and a break.
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Data
 

A project at AUSSDA examined the number and focus of social science lecturers and researchers at tertiary institutions in Austria. A survey will soon take place.
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CESSDA ERIC
 

AUSSDA was invited to present at the "CESSDA ERIC Strengthening and Widening 2018" meeting in Belgrade. We shared experiences of our first years of building an archive with new and emerging social science data archives.

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Events
 

On November 23, AUSSDA gives a workshop on data management at the University of Graz. Researchers, teachers and students are given an overview of how their research data can be made citable, accessible and reusable.
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