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.  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.Reviewer Worksheet for DMPsTo help the grant reviewer, we have created the JHU DMS Reviewer Guide and Worksheet for Data Management Plans (shown right). 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.

The following funders requiring data management plans follow the NSF’s content structure, so this guide can also be used for review of their grant proposals:

• NEH – Digital Humanities grants
• US Dept. of Ed – Institute of Education Science (IES) grants
• IMLS – for projects that develop digital materials

 

Please share your feedback on this guide: datamanagement@jhu.edu