Find data, share data, and cite data with confidence.

AUSSDA's primary collection is the public dataverse.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

31 to 40 of 1,172 Results
10904_mr_en_v1_0.pdf
Jan 20, 2026 - Pre-service Teachers’ Professional Development for Cultural and/or Linguistic Diversity through Teaching Abroad: A Systematic Scoping Review (OA edition)
Adobe PDF - 233.3 KB - MD5: a8f22a8a1564bd00120200fa1a0b0024
DocumentationMethod report
Method report – English
10904_readme.pdf
Jan 20, 2026 - Pre-service Teachers’ Professional Development for Cultural and/or Linguistic Diversity through Teaching Abroad: A Systematic Scoping Review (OA edition)
Adobe PDF - 36.4 KB - MD5: 778c63ccecbf63e75c3991ac5e6a7512
Documentation
Data curation protocol
Digitize! Online Panel Survey (SUF edition)
Jan 19, 2026
Pfaff, Katharina; Weitzel, Daniel; Assenbaum, Laura; Brandl, David; Conte, Luca; Duschek, Béla; Klein, Vanessa; Kvir, Nikita; Meinel, Jakob; Moser, Jakob; Perner, Wanda; Prießnitz, Leonhard; Voith, Valentin; Walcherberger, Christina; Windisch, Franziska; Kritzinger, Sylvia, 2022, "Digitize! Online Panel Survey (SUF edition)", https://doi.org/10.11587/8SFV2L, AUSSDA, V10, UNF:6:0ahF0jtxMBQIqLGXDWJnbw== [fileUNF]
Full edition for scientific use. The Digitize! Online Panel Survey is an offline-recruited Austrian opinion survey which measures attitudes and behavior towards several social phenomena and issues. Topics include, amongst others, attitudes towards work, immigration, family, health, environment, and media behavior as well as opinions on political ev...
10787_da_de_v9_0.tab
Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)
Tabular Data - 25.4 MB - 1554 Variables, 10479 Observations - UNF:6:PD6zmLkQvFpmFjcRNz0rmw==
DataSTATA
Core data file - STATA format - 1554 Variables, 10479 Observations - German
10787_da_de_v9_0.zip
Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)
ZIP Archive - 3.0 MB - MD5: d4453501d33796d858867c37b6bbf564
CSVData
Core data file - compressed CSV format - 1554 Variables, 10479 Observations - German
10787_da_de_v9_0.zsav
Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)
Unknown - 4.6 MB - MD5: dcdc3927e815fbcad3fdb7ccfb7e645c
DataSPSS
Core data file - compressed SPSS format - 1554 Variables, 10479 Observations - German
10787_da_en_v9_0.tab
Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)
Tabular Data - 25.2 MB - 1554 Variables, 10479 Observations - UNF:6:JS3owtp2GibE2Th8/sjHRQ==
DataSTATA
Core data file - STATA format - 1554 Variables, 10479 Observations - English
10787_da_en_v9_0.zip
Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)
ZIP Archive - 3.0 MB - MD5: 2b4cc32768404a9fffe603e98fd9f7b0
CSVData
Core data file - compressed CSV format - 1554 Variables, 10479 Observations - English
10787_da_en_v9_0.zsav
Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)
Unknown - 4.6 MB - MD5: 096c9635c51cb8fd61265f5bdc5f100e
DataSPSS
Core data file - compressed SPSS format - 1554 Variables, 10479 Observations - English
10787_co_en_v1_0.pdf
Jan 19, 2026 - Digitize! Online Panel Survey (SUF edition)
Adobe PDF - 3.7 MB - MD5: d565dd2e3772923af00ffe1e2a497e88
CodebookDocumentation
Codebook - English
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.