Research data

Research data in the plant sciences are extremely diverse and are generated throughout the entire research chain, ranging from controlled laboratory and greenhouse experiments to field experiments and remote sensing applications. They include, among other things, measurement data from phenotyping, omics analyses, image and sensor data, information on environmental conditions, and data from material and sample collections. These are supplemented by models, simulation data, and the associated metadata. This data forms the basis for a better understanding of plant processes as well as for the development of resilient and sustainable agricultural systems. Therefore, it is important to standardize the collection of research data, ensure its quality, store it efficiently, and make it available for the long term.

Vier Symbole werden nebeneinander dargestellt: eine Lupe, ein Finger, der auf einen Punkt zeigt, mehrere ineinandergreifende Zahnräder und ein Recycling-Symbol. (Mistral: Pixtral Large 2411, 2026-03-17)

Following the FAIR principles (Findable, Accessible, Interoperable, Reusable) ensures that research data remains findable, accessible, interoperable, and reusable over the long term, thereby significantly increasing its scientific value and facilitating its reuse.

Last Modified: 03.09.2026