351 to 360 of 626 Results
Aug 4, 2022 -
Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science (SUF edition)
Rich Text Format - 170.3 KB -
MD5: 60f684ef26665c26e882e1962f83ebcc
Core data file - RTF format - Interview transcript Participant 24 (English) |
Aug 4, 2022 -
Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science (SUF edition)
Adobe PDF - 86.6 KB -
MD5: f602392db51bb431aead2f2ca33a8cd9
Method report |
Aug 4, 2022 -
Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science (SUF edition)
Adobe PDF - 48.7 KB -
MD5: 6a161c6eee182778656f655ac3ba1de0
Consent Form for Data Archiving |
Aug 4, 2022 -
Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science (SUF edition)
Adobe PDF - 38.5 KB -
MD5: c1012c00847dac045a758abbd979b23c
Questionnaire - Phase 1 |
Aug 4, 2022 -
Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science (SUF edition)
Adobe PDF - 32.1 KB -
MD5: 284937dfb89282491cb987b3662e6ea8
Questionnaire - Phase 2 |
Aug 4, 2022 -
Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science (SUF edition)
Adobe PDF - 63.2 KB -
MD5: 13e5b31535efbdffeb892f3f92ae0e15
Data curation protocol |
Jul 28, 2022 - COVID-19 Pandemic
Steiner, Mario; Köpping, Maria; Leitner, Andrea; Pessl, Gabriele, 2022, "COVID-19 and education: What can be done to ensure that the health and educational crises do not turn into social selectivity in the classroom? (SUF edition)", https://doi.org/10.11587/LGPP3G, AUSSDA, V1, UNF:6:zLExTe6ESKcgsQ0OkzE/kg== [fileUNF]
Full edition for scientific use. In an Austria-wide online survey, the teaching and learning situation during the Corona-related school closures was surveyed from the perspective of teachers: What learning content, tasks, communication channels are used? How do teachers assess th... |
Tabular Data - 4.6 MB - 192 Variables, 7726 Observations - UNF:6:6Ob6TSGSPgK/RjdsIAXi4g==
Core data file - STATA format - 192 Variables, 7726 Observations |
ZIP Archive - 504.5 KB -
MD5: 2e2fca240da25d94055f162dd7babfc3
Core data file - compressed CSV format - 192 Variables, 7726 Observations |
Unknown - 557.8 KB -
MD5: e601e20ae5a6a44035af92d0e17bed7c
Core data file - compressed SPSS format - 192 Variables, 7726 Observations |