Up until the early 2000s, DMPs were used "for projects of great technical complexity, and for limited mid-study data collection and processing purposes".
[4] This could arguably save time in the long term because there is no need to re-organize, re-format, or try to remember details about data.
In the 2010s,[3] funding agencies increasingly required data management plans as part of the proposal and evaluation process,[5] despite little or no evidence of their efficacy.
[10] Issues to be considered include: Data management and preservation costs may be considerable, depending on the nature of the project.
By anticipating costs ahead of time, researchers ensure that the data will be properly managed and archived.
Potential expenses that should be considered are The data management plan should include how these costs will be paid.
All grant proposals submitted to National Science Foundation (NSF) must include a Data Management Plan that is no more than two pages.
Best practice would be to "require maintenance of the data management plan following award and during the active phase of a study.