41 to 50 of 91 Results
Nov 14, 2022 -
EOSC Pillar Researcher Interviews (SUF edition)
ZIP Archive - 256.0 KB -
MD5: d15031a7339bed9e453889ba888d5ce8
Core data files - RTF format - Interview transcripts with 14 researchers |
Nov 14, 2022 -
EOSC Pillar Researcher Interviews (SUF edition)
Adobe PDF - 404.2 KB -
MD5: 9a6b26e729b3b3166e63ff774e07dbfc
Method report |
Nov 14, 2022 -
EOSC Pillar Researcher Interviews (SUF edition)
Adobe PDF - 668.9 KB -
MD5: cc4c0bd6ccd3bd9ed11363314bc17c7b
Anonymization scheme |
Nov 14, 2022 -
EOSC Pillar Researcher Interviews (SUF edition)
Adobe PDF - 143.5 KB -
MD5: 3e9a9e6ec6f9e7cda01c7d642b31b14c
Consent form |
Nov 14, 2022 -
EOSC Pillar Researcher Interviews (SUF edition)
Adobe PDF - 520.2 KB -
MD5: 7bb25f58d76d6dc6a78470fb00826a22
Questionnaire |
Nov 14, 2022 -
EOSC Pillar Researcher Interviews (SUF edition)
Adobe PDF - 48.2 KB -
MD5: 0c06fcdf43d9573b96a295f90ea144ba
Data curation protocol |
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... |
Aug 4, 2022 -
Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science (SUF edition)
Adobe PDF - 39.8 KB -
MD5: 81c9d2b6799d0f15728c94fa8adaeebf
Codebook |
Aug 4, 2022 -
Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science (SUF edition)
Rich Text Format - 122.1 KB -
MD5: f1739c560fa0004d945b6fc6fc9a960d
Core data file - RTF format - Interview transcript Participant 1 (German) |
Aug 4, 2022 -
Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science (SUF edition)
Rich Text Format - 101.4 KB -
MD5: e961e0261ec205fec3ced6d82ac0e89e
Core data file - RTF format - Interview transcript Participant 2 (German) |