In recent years, scientific domains, including biomedical sciences, have faced a "reproducibility crisis." Open science practices are increasingly demanded by funders, journals, and institutions, emphasizing FAIR data principles. However, FAIR data sharing alone doesn't guarantee reproducibility; it requires a defined computational environment. Our Reproducible Research Platform (RRP) encapsulates FAIR data, code, and the computational environment. RRP is based on open-source tools and JupyterLab, aiming to share projects with all necessary components. This enables full reusability, allowing others to reproduce, modify, and extend previous work, serving collaborators, authors, reviewers, students, and the general public.