The Metadatasheet is a standardized, user-friendly workbook for recording experimental metadata in life sciences. It provides a structured Excel template with built-in guidance, examples, and validation to ensure metadata are consistent, complete, and reusable. Designed to accompany data along the entire research data lifecycle—from planning and collection to analysis, publication, and sharing—it bridges experimental and computational workflows, improves reproducibility, and facilitates data reuse across research groups and platforms.

cOmicsArt is a user-friendly tool designed to bridge the gap between experimental and computational biology. It offers a clean, intuitive graphical user interface (GUI) for exploring bulk-omics data to conduct exploratory and statistical analyses, generate interactive visualizations, and automatically produce comprehensive reports. What sets it apart is its tight integration with R: every analysis in the GUI can be exported as reproducible R scripts and machine-readable objects, so users can customize workflows further, even if started within the GUI. Available freely online, with full documentation, source code, and Docker support.

Shiny-Calorie is an open-source Shiny application for analyzing and visualizing indirect calorimetry data. It supports direct imports from common metabolic phenotyping platforms, integrates raw data with metadata, and provides intuitive tools for statistical analysis and visualization of complex, longitudinal datasets. With features to assess key phenotypes such as resting metabolic rate and energy expenditure, Shiny-Calorie streamlines data handling, ensures reproducibility, and facilitates comparability across experiments in metabolic research. Available freely online, with full documentation, source code, and Docker support.