Project 2 – Family Recipes Analysis

This dataset contains a **fictitious corpus of 12 family recipes**, created as part of the *MiniData Project 2025* for training in research data management and open science. ### Contents- Structured datasets (`family_recipes.csv`, `family_recipes.json`)- Python and R scripts for ingredient frequency analysis- Example plot of the top ingredients (`top_ingredients.png`)- Three fictitious recipe scans (`scan_recipe_*.jpg`)- Documentation: README, metadata (DataCite XML), sample Data Management Plan (PDF)- Methodological note (deposited separately on HAL) ### PurposeThe dataset is intended **exclusively for training purposes**. It demonstrates best practices in:- dataset documentation with README and metadata- licensing adapted to different data types (MIT for scripts, CC BY for structured data, CC0 for metadata, CC BY-NC for scans)- open repository deposit (Zenodo for datasets, GitHub for software, HAL for publications)- linking research outputs in **OpenAIRE** under Horizon Europe open science requirements ### DisclaimerThis dataset is fictitious. The recipes and scans do not represent real personal or cultural data.