How to effectively document research data in the Social Sciences and Humanities fields

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In this online webinar, Auriane Marmier (FORS) explored the different levels of documentation, i.e. project, file, and data level, through concrete examples and discussed how each serves specific purposes and audiences. She highlighted the importance of good documentation practices to ensure data usability, reproducibility, and long-term preservation. She also introduced practical tools and strategies, such as naming conventions, codebooks, and README files, with insights drawn from real-life social sciences projects.
Noemi Villars (DaSCH) presented examples, how project data should be presented and documented on a platform so that the public could understand rapidly what data are archived and for what purposes. She addressed the necessity of documenting a data model and a database in general, and explain why explaining how to search the data matters.
Creation date: Oct. 6, 2025
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