Research and other types of scholarly or creative activity generate data. Whether an architect created blueprints and computer-aided renderings, or a biologist collected specimens, both projects generated data. Data management is defined as the organization, storage, access, and preservation of data in its various forms (Henderson, 2016). Data management also includes what will be done with the data once a project is completed and how it may be shared and stored. Data management planning (DMP) is when a researcher creates a method of how data will be gathered, stored, archived, and sunsetted before a project begins. DMP also describes the data that will be collected, how it will be gathered, and who has responsibility for its stewardship.
Data management and data management plans are important for many reasons, but the most pressing for researchers has to do with mandates. Many federal grant proposals require a data management plan. In addition, increasing numbers of journals are requiring researchers to share some or all of their research data in articles they select for publication.
Source: Henderson, M. E. (2016). Data management: A practical guide for librarians. Rowman & Littlefield.
Related Research Guides and Web Pages
Data Management Training
Data Management in Higher Education
The National Institutes of Health (NIH) data sharing requirements policy takes effect for NIH grant applications, proposals for contracts, Intramural Research Projects, or other funding agreements received or done on or after January 25, 2023. See their notices for official policies with specifications.