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.

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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
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article

AI-Assisted Research Documentation in Social Sciences

Auriane Marmier
Zenodo (CERN European Organization for Nuclear Research)
Computational and Text Analysis Methods
article

AI-Assisted Research Documentation in Social Sciences

Auriane Marmier
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
FORS – Swiss Centre of Expertise in the Social Sciences (CH)
Openalex Percentile: Top 48%
Computational and Text Analysis Methods
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