At a broad level, data are items of recorded information considered collectively for reference or analysis.
Data can occur in a variety of formats that include, but are not limited to,
Research data management (or RDM) is a term that 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).
There are a host of reasons why research data management is important:
Funders are increasingly requiring grant applicants to submit data management plans (DMPs) with their grant proposals, in an effort to promote data sharing and responsible stewardship of data by researchers.
The Data Management Planning Tool (DMPTool) offers templates based on the specific requirements listed in funder policy documents. The DMPTool maintains these templates, however, researchers should always consult the program officers and policy documents directly for authoritative guidance.