31 to 40 of 114 Results
Nov 14, 2022 - Public
Bodlos, Anita, 2022, "EOSC Pillar Researcher Interviews (SUF edition)", https://doi.org/10.11587/BDQGOR, AUSSDA, V1
Full edition for scientific use. These interviews aimed at understanding researchers' data reuse behavior. Specifically, they focus on researchers' perspectives regarding the FAIR principles: findability, accessability, interoperability, and reusability of research data. The qual... |
Oct 20, 2022 - Public
Lechner, Lisa, 2022, "Non-trade issues in preferential trade agreements dataset (issues and scope) between 1945 and 2020 (OA edition)", https://doi.org/10.11587/Z4BPCP, AUSSDA, V1, UNF:6:I/gg4wT3kTtUQ019H9DCMQ== [fileUNF]
Full edition for public use. This dataset contains information on which non-trade issues occur in preferential trade agreements signed between 1945 and 2020. These range from various environmental protection issues, such as clean air or biodiversity, over basic human rights, such... |
Oct 6, 2022 - AUTNES
Gründl, Johann; Oberluggauer, Patricia; Eberl, Jakob-Moritz; Glantschnigg, Christian; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition)", https://doi.org/10.11587/BTEFJH, AUSSDA, V1, UNF:6:rADn4Yz4W0fvav/dwW1KMw== [fileUNF]
Full edition for scientific use. This study adds to the existing manual content analysis on the media coverage of the 2013 Austrian national election. It emphasizes political actors, issues, and their evaluation. 8998 contributions from 14 print and TV media (selected according t... |
Aug 23, 2022 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2022, "AUTNES Content Analysis of Party Websites 2013 (SUF edition)", https://doi.org/10.11587/TQVSLQ, AUSSDA, V1, UNF:6:RgH5YqkZxsNadZUThetBzA== [fileUNF]
Full edition for scientific use. The dataset “AUTNES Content Analysis of Party Websites 2013” covers all party websites of parties gaining at least two percent of the votes in the 2013 national election. The party websites were saved each day during the six weeks prior to the gen... |
Aug 17, 2022 - AUTNES
Litvyak, Olga; Balluff, Paul; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2019 (SUF edition)", https://doi.org/10.11587/FVTDXG, AUSSDA, V1, UNF:6:uEkcRQLAYjLigOZtzlFONQ== [fileUNF]
Full edition for scientific use. The dataset comprises data of AUTNES manual content analysis of media coverage of the Austrian National Election held on 29 September 2019. This study is part of the Austrian National Election Study (AUTNES). |
Aug 11, 2022 - AUTNES
Litvyak, Olga; Fischeneder, Andreas; Balluff, Paul; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Automatic Content Analysis of the Media Coverage 2019 (SUF edition)", https://doi.org/10.11587/ZY7KSQ, AUSSDA, V2, UNF:6:LotitDNS2g8HxYFEh+Kjpw== [fileUNF]
Full edition for scientific use. The dataset comprises data of AUTNES automatic content analysis of media coverage of the Austrian National Election held on 29 September 2019. This study is part of the Austrian National Election Study (AUTNES). |
Aug 11, 2022 - AUTNES
Galyga, Sebastian; Litvyak, Olga; Balluff, Paul; Eberl, Jakob-Moritz; Rettenegger, Gregor; Egelhofer, Laura Jana; Aaldering, Loes; Lecheler, Sophie; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2017 (SUF edition)", https://doi.org/10.11587/IYGIBZ, AUSSDA, V2, UNF:6:381Xf2161PT6n3RR1jaYLA== [fileUNF]
Full edition for scientific use. The dataset comprises data of the AUTNES manual content analysis of media coverage of the Austrian National Election held on 15 October 2017. This study is part of the Austrian National Election Study (AUTNES). |
Aug 11, 2022 - AUTNES
Litvyak, Olga; Rettenegger, Gregor; Fischeneder, Andreas; Galyga, Sebastian; Eberl, Jakob-Moritz; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Automatic Content Analysis of the Media Coverage 2017 (SUF edition)", https://doi.org/10.11587/UCQBQQ, AUSSDA, V2, UNF:6:vyisGY70e5eZ0f0o+n+Kng== [fileUNF]
Full edition for scientific use. The dataset comprises data of the AUTNES automatic content analysis of media coverage of the Austrian National Election held on 15 October 2017. This study is part of the Austrian National Election Study (AUTNES). |
Aug 4, 2022 - Public
Lechner, Lisa; Kirchmair, Lando, 2022, "European Constitutional Court Network Data (OA edition)", https://doi.org/10.11587/AYUJTC, AUSSDA, V1, UNF:6:vFTHJ32EN/mn9Cj795wgBg== [fileUNF]
Full edition for public use. Constitutions contain the most important rules of our political systems and Constitutional Courts are the most powerful judicial institutions of European states. They are the guardians of the Constitutions and ensure, for instance, the respect for fun... |
Aug 4, 2022 - Public
LaFlamme, Marcel; Poetz, Marion; Spichtinger, Daniel, 2022, "Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science (SUF edition)", https://doi.org/10.11587/9ZDCYI, AUSSDA, V1
Full edition for scientific use. As part of a study on factors influencing researcher data reuse and the mechanisms by which these factors are activated, the research team conducted semi-structured oral interviews with a purposive sample of 24 data reusers and intermediaries. Thi... |
