1,351 to 1,360 of 5,960 Results
Feb 28, 2023 -
Interviews with PhD students at the University of Vienna on research data management (SUF edition)
Adobe PDF - 148.8 KB -
MD5: 4e66a43e4bd4aeae2270b46d81735b4c
Anonymisation scheme |
Feb 28, 2023 -
Interviews with PhD students at the University of Vienna on research data management (SUF edition)
Adobe PDF - 114.8 KB -
MD5: d1eb5afc6a851f0c3961b08ecf7e9596
Data curation protocol |
Feb 17, 2023 - Public
Prandner, Dimitri, 2023, "Data Sharing - 2020: Data sharing and data management in the social sciences (SUF edition)", https://doi.org/10.11587/BUIDPR, AUSSDA, V1, UNF:6:VCI+uHvY7TG++MvzBfJUHg== [fileUNF]
Reduced edition for scientific use. The survey study "Data Sharing - 2020: Data sharing and data management in the social sciences" was conducted in 2020 in cooperation between AUSSDA - The Austrian Social Science Data Archive and the Department of Empirical Social Research at the Institute of Sociology at Johannes Kepler University Linz. The aim o... |
Feb 17, 2023 -
Data Sharing - 2020: Data sharing and data management in the social sciences (SUF edition)
Adobe PDF - 562.9 KB -
MD5: 36b7b6945eb44b60c19d6a388dc2c7af
Codebook and tabulation report |
Feb 17, 2023 -
Data Sharing - 2020: Data sharing and data management in the social sciences (SUF edition)
Tabular Data - 243.9 KB - 177 Variables, 402 Observations - UNF:6:VCI+uHvY7TG++MvzBfJUHg==
Core data file - STATA format - 177 Variables, 402 Observations |
Feb 17, 2023 -
Data Sharing - 2020: Data sharing and data management in the social sciences (SUF edition)
ZIP Archive - 26.3 KB -
MD5: 70fa432d9b0d5397bbf6d6304e41ee16
Core data file - compressed CSV format - 177 Variables, 402 Observations |
Feb 17, 2023 -
Data Sharing - 2020: Data sharing and data management in the social sciences (SUF edition)
Unknown - 59.5 KB -
MD5: 5cc50f0a98613fa1ef6cd4719e738519
Core data file - compressed SPSS format - 177 Variables, 402 Observations |
Feb 17, 2023 -
Data Sharing - 2020: Data sharing and data management in the social sciences (SUF edition)
Adobe PDF - 1.4 MB -
MD5: 6df9e091dde8b00fb89afb0b2eb68317
Method report |
Feb 17, 2023 -
Data Sharing - 2020: Data sharing and data management in the social sciences (SUF edition)
Adobe PDF - 33.7 KB -
MD5: 56d3093b8c7624ab39fff31f91394069
Data curation protocol |
Feb 15, 2023 - Public
Wolter, Stella; Liepold, Mira; Tatzber, Rosa; Sauer, Birgit, 2023, "MiCREATE - Migrant Children and Communities in a Transforming Europe. Interviews with Teachers at Viennese Schools (SUF edition)", https://doi.org/10.11587/VI5XKS, AUSSDA, V1
Full edition for scientific use. The data was collected as part of the H2020 project "MiCREATE - Migrant Children and Communities in a Transforming Europe". It consists of transcripts of qualitative interviews and focus groups with school staff in selected Viennese schools. The aim of the research was to gain insights into integration measures in t... |