Data can be defined in a variety of ways, depending on the discipline and the context. Specific funders may have their own definitions of data that should be consulted when making decisions about managing research data.
Research data management describes the organization, storage, preservation, and sharing of data collected and used in a research project. It involves the everyday management of research data during the lifetime of a research project (for example, using consistent file naming conventions). It also involves decisions about how data will be preserved and shared after the project is completed (for example, depositing the data in a repository for long-term archiving and access).
Why research data management is important: