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Research Data Management (SC)

National Science Foundation

NSF Data Sharing Policy

(taken from the NSF website)

Investigators are expected to share with other researchers, at no more than incremental cost and within a reasonable time, the primary data, samples, physical collections and other supporting materials created or gathered in the course of work under NSF grants. Grantees are expected to encourage and facilitate such sharing. See Award & Administration Guide (AAG) Chapter VI.D.4.

NSF DATA MANAGEMENT PLAN REQUIREMENTS

Proposals submitted or due on or after January 18, 2011, must include a supplementary document of no more than two pages labeled “Data Management Plan”. This supplementary document should describe how the proposal will conform to NSF policy on the dissemination and sharing of research results. See Grant Proposal Guide (GPG) Chapter II.C.2.j for full policy implementation.

REQUIREMENTS BY DIRECTORATE, OFFICE, DIVISION, PROGRAM, OR OTHER NSF UNIT

Links to data management requirements and plans relevant to specific Directorates, Offices, Divisions, Programs, or other NSF units, are provided below. If guidance specific to the program is not provided, then the requirements established in Grant Proposal Guide, Chapter II.C.2.j apply.

Please note that if a specific program solicitation provides guidance on preparation of data management plans, such guidance must be followed.

Data Management & Sharing Frequently Asked Questions (FAQs)

 

NEWS:

The NSF has released the 2017 version of their PAPPG (NSF 17-1) Proposal and Award Policies & Procedures Guide which will be effective January 30, 2017.

Note: Beginning January 30, 2017, FastLane will run enhanced automated compliance checks across several proposal types and will generate errors or warnings when the submission or deadline validation compliance checks are not met. Checks are run during “Check Proposal,” “Forward to SPO,” and “Submit Proposal.” The complete list of FastLane automated compliance checks effective January 30, 2017, is available here.

This means there will be less wiggle room after submission if the PI makes a mistake (you can no longer remedy certain mistakes by iterating with the Program Officer after submission; the proposal will simply not be accepted). It can still be revised to fix these issues if there is time before the deadline.