Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
If you are, or will be, on a review panel for grant proposals from NSF or several other funders, you are asked to assess each proposal’s required Data Management Plan (DMP). NSF and the Directorates provide some [guidelines for writing DMPs][1]. Proposal reviewers generally must rely on these same guidelines for assessing DMPs. Reviewers may find it challenging to identify the key components of a good data management plan, and efficiently assess and compare among submitted proposals. Download the guide for a user-friendly page of tables and checklists that can be used in MS Word on your PC or as a printout. Sections are based on NSF’s guidelines for DMP components, including a table for listing the proposal’s main research products and data, lists of items to look for on the main topics of data sharing, data management during the project, and data preservation after the project. Lists include items that are basic to a good DMP and starred items that indicate exceptional DMPs. Following the checklist page are guidelines for each section on DMP content and best practices for each section, and examples, including some sample language derived from exemplary DMPs. Use the guide for taking quick notes or simply as reference while reading and comparing proposals. Data Services Librarians: this worksheet is also useful for giving feedback on a researcher's data management plans. If you customize this document and would like to share your enhancements, feel free to post or cross-link your document here. Visit us at JHU Data Services: [https://dataservices.jhu.edu][2] [1]: http://www.nsf.gov/bfa/dias/policy/dmp.jsp [2]: http://dms.data.jhu.edu
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.