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The NIH has provided a downloadable document outlining the different sections of the DMP. The DMP element sections are general-purpose but can be used as a starting point.
The AHRQ has offered a list of 25 questions a DMP should answer, which will give researchers a good starting point for the expected content of DMPs.
NIH defines scientific data as:
"The recorded factual material commonly accepted in the scientific community as of sufficient quality to validate and replicate research findings, regardless of whether the data are used to support scholarly publications. Scientific data do not include laboratory notebooks, preliminary analyses, completed case report forms, drafts of scientific papers, plans for future research, peer reviews, communications with colleagues, or physical objects, such as laboratory specimens."
There are two distinct differences between the NSF Data Sharing Policy and the NIH Data Management Plans. For the NSF policy, investigators are expected to share with other researchers at no more than incremental cost and within reasonable time primary data, samples, physical collections and other supporting materials. NIH however, requires researchers to maximize their data sharing and must share as soon as possible regardless of where researchers are in the dissemination process.
Here you will find NIH DMP examples. These examples were curated specific to discipline, but are great in what could be expected in a completed DMP.
From the Working Group on NIH DMSP Guidance. This group of data librarians and other data professionals have gathered and developed additional open resources. Hosted in an OpenScienceFramework wiki, they provide a great outline for what to address in researchers DMSPs such as Metadata, README files, and the DMP itself.
This is a collection of data plans gathered from previously published grants and is presented to give you ideas.
This is an example data management plan created by colleagues at the CalTech Library.