Kurzbeschreibung

The "How to Document Your Research Data" poster series provides a comprehensive overview of essential documentation practices for research data. Created with the goal of promoting transparency and reproducibility, these posters highlight key aspects of data documentation and guide researchers in effectively managing their data throughout the research lifecycle. The posters cover Electronic Laboratory Notebooks (ELNs), Codebooks, Model Cards for Machine Learning and Artificial Intelligence models, Datasheets for Machine Learning datasets, Data Nutrition Labels for Artificial Intelligence datasets, and Readme Files. Each poster provides insights into the background, functions, and essential components of these documentation tools.

The posters can be used by scientists looking for the right documentation tool for their research project and by research data management support services at research institutions providing information about documentation in trainings and consultations.