Selecting appropriate metadata and metadata standards is crucial in a data management plan to ensure data is accurately described, easily discoverable, and interoperable across different systems.
Considering data retention (archiving) and disposal in data management planning is essential to ensure compliance with legal requirements, protect sensitive information, and manage storage costs effectively.
Best practice hypothetical RDMP's covering a variety of research disciplines.
Health sciences RDMP example [PDF, XXkb]
Science & engineering RDMP example [PDF, XXkb]
Humanities RDMP example [PDF, XXkb]
Indigenous studies RDMP example [PDF, XXkb]