Changes to NSF grant proposal guidelines

New guidelines for researchers submitting grant proposals to the National Science Foundation are now in effect. The guidelines, announced in March 2015, apply to all grant proposals submitted after January 25, 2016. Among the most significant changes are that all peer-reviewed articles and conference papers produced with NSF funds must be deposited in an NSF-designated open access repository.

Initially, all materials will be need to be deposited in the Department of Energy’s PAGES (http://www.osti.gov/pages/) system, with which NSF is partnering. In the future, the NSF will also allow deposits to be made in approved third-party repositories. Other products such as technical reports, white papers, and instructional materials will be included at a later date. Each manuscript will have a minimum set of eight mandatory metadata fields and must be in the PDF/A format. Awardee institutions will be responsible for ensuring that all requirements are met.

Currently, all data produced with NSF funds must be deposited in an open-access repository, which must be designated in the Data Management Plan (DMP) submitted with the proposal. By FY 2019, NSF expects to complete the development of standards for data repositories and related metadata and an automated system for submission and verification of compliance of DMPs, resulting in better discoverability for data and publications.

The full text of the new guidelines can be found at: http://www.nsf.gov/pubs/policydocs/pappguide/nsf16001/index.jsp

A summary of the significant changes can be found at: http://www.nsf.gov/pubs/policydocs/pappguide/nsf16001/sigchanges.jsp

The Libraries’ Research Data Services (RDS) is prepared to assist researchers with requirements set forth by the NSF and other funding agencies. Members of the RDS team are experts in each phase of the data lifecycle and can assist in the preparation of Data Management Plans, selection of an appropriate repository for data, and preparation of data and metadata. Additionally, RDS can assist with finding, collecting, and analyzing numeric and GIS data.





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