FAIR Use of GPT-Generated Data in SSH Research: A Practical Guide
Over the past year, the Research and Infrastructure Support (RISE) team at the University of Basel has been exploring the use of Generative Pre-trained Transformers (GPTs) in the field of Social Sciences and Humanities (SSH). One of the main challenges we encountered was to make GPT-generated data FAIR (Findable, Accessible, Interoperable and Re-usable). In this talk, RISE member Maximilian Hindermann will share key learnings and practical tips his team has gathered.
Institutions
- University of Basel (CH)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-08-21
- DOI
- https://doi.org/10.5281/zenodo.13939595
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00