A data management plan is a formal document that outlines what you will do with your data during and after a research project. Most researchers collect data with some form of plan in mind, but it's often inadequately documented and incompletely thought out. Many data management issues can be handled easily or avoided entirely by planning ahead. With the right process and framework it doesn't take too long and can pay off enormously in the long run.
Source: DMPTool
Data Management Plans (DMP) are an important component of enabling reproducibility and are now required for most federally funded grants.
Source: ezDMP
DMPs are one of the foundations of good research data management (RDM), an international best practice, and increasingly required by institutions and funders, including the Canadian Tri-Agencies as outlined in their Research Data Management Policy.
Source: DMP Assistant
In February of 2013, the White House Office of Science and Technology Policy (OSTP) issued a memorandum directing Federal agencies that provide significant research funding to develop a plan to expand public access to research. Among other requirements, the plans must:
"Ensure that all extramural researchers receiving Federal grants and contracts for scientific research and intramural researchers develop data management plans, as appropriate, describing how they will provide for long-term preservation of, and access to, scientific data in digital formats resulting from federally funded research, or explaining why long-term preservation and access cannot be justified"
Most US Federally funded grants and many private foundations require some form of a data management plan. In the United States, most data management plans are 2-page documents submitted as part of the funding proposal process.
Source: DMPTool
DMP Assistant is an all-purpose tool for preparing data management plans (DMPs).
Researchers will be guided through best practices in data stewardship.
ezDMP is based on the Interdisciplinary Earth Data Alliance (IEDA) Data Management Tool and free to all investigators. The user interface includes logic to that allows easy input and connection of proposed data products and provides suggestions and information specific to the NSF directorate and subdiscipline to ensure that users find the right solutions for long-term data management. Users can then download an NSF compliant data management plan PDF that can be submitted directly along with their proposal.
ezDMP is funded by an NSF EAGER grant to K. Lehnert and V. Ferrini (Columbia University, 1649703), H.M. Berman (Rutgers University, 1649545), and V.C. Stodden (University of Illinois, Urbana-Campaign, 1649555).
