Research Data Management
Our Research Data Management services consult with researchers on how to collect, document, organize, store, and preserve your research data throughout your project. We can help you meet funder requirements, including assistance in drafting and reviewing data management plans, selecting appropriate active data storage, choosing a repository, and preparing research data for end-of-project archiving. Come by to talk (firstname.lastname@example.org) about best practices to insure your research data will continue to be available in the future. You may also be interested in:
- UVA hosts an instance of Dataverse, Libra Data, where you can deposit and discover UVA datasets and other scholarly data. To learn more, contact email@example.com.
- UVA subscribes to two funding discovery databases. The Grants and Funding Subject Guide explains how to use the Pivot and GrantForward funding discovery tools, provides links to additional resources, and resources to help you write the perfect proposal.
To learn more about research data management, visit our Research Data Management Guide with the most current information available, including requirements and DMP templates for NSF, NIH, NEH, DOT, IES, DOE, CDC, and NOAA.
Research Data Life Cycle
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.