Sharing data and code with research publications is crucial for open and reproducible science. It promotes collaboration, speeds up scientific progress, and boosts the credibility of research. By sharing data and code, researchers enable others to validate findings, build upon existing work, and explore new research avenues. However, many researchers fail to share their data and code publicly. This pattern may arise from knowledge barriers about how to archive data and code or concerns about its reuse.