Research Data is defined as facts, records, or observations collected about the world. Data may be in any format or medium (ex: notes, images, films, designs, diagrams, algorithms, files, etc.) and can be used as evidence to validate findings and results.
Research Data Management (RDM) refers to the processes applied throughout the lifecycle of a research project to guide the collection, documentation, storage, sharing, and preservation of research data.
Why Manage Research Data?
RDM practices are integral to conducting responsible research and can help researchers save resources by ensuring their data is complete, understandable, and secure.
RDM practices also follow institutional and funding agency guidelines that protect their investments.
The broader research community can derive maximum value from research data that can be accessed, shared, reused and repurposed.