Research Data Management (RDM)

Research Data Management (RDM) involves organizing, storing, and sharing data collected during research to ensure it’s accurate, secure, and accessible for future use. It includes planning how data will be handled, using proper documentation, maintaining data quality, and following legal and ethical standards. Effective RDM helps researchers collaborate, reproduce results, and contribute to scientific progress, while also meeting institutional or funding requirements. Think of it as a way to responsibly care for and manage research information so it remains valuable and usable over time.