AI-Assisted Research Documentation in Social Sciences
This presentation examines how large language models (LLMs) like ChatGPT can assist researchers in generating documentation such as codebooks and README files, helping meet Open Science and FAIR data requirements. It explores how LLMs can streamline workflows, align outputs with repository standards, and reduce curation burden. Alongside these opportunities, the talk also addresses the ethical, legal, and environmental challenges posed by AI integration, especially in contexts involving sensitive social science data.
Authors
- Auriane Marmier (ORCID: https://orcid.org/0000-0003-1488-3433)
Institutions
- FORS – Swiss Centre of Expertise in the Social Sciences (CH)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-17
- DOI
- https://doi.org/10.5281/zenodo.18964623
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00