Research Data Management (RDM) refers to the structured handling of research data throughout its lifecycle, including planning, collection, storage, documentation, sharing, and preservation. For university researchers, RDM supports data quality, research integrity, reproducibility, and compliance with institutional, ethical, and funder requirements while enabling future reuse of data.

Important Notice: The IIUM Research Data Management (RDM) initiative is currently in the process of establishment. All related information is being compiled before this page is updated for public reference and for the IIUM community in particular. We apologize for any inconvenience caused. Thank you.