Planning for a project involves making decisions about data resources and potential products. A Data Management Plan (DMP) describes data that will be acquired or produced during research; how the data will be managed, described, and stored, what standards you will use, and how data will be handled and protected during and after the completion of the project.
The image of the data management sharing plan provides an overview of how to incorporate both FAIR Principles while meeting the requirements of any data management sharing plans. It is important to develop your data management sharing plan at the beginning of your project. This type of project planning saves time and effort. Consult with the UF Research Development team to set a timeline, discuss the new requirements, and determine what campus data services you may need.
*Get started by downloading this DMS checklist.
NIH has a longstanding commitment to making the results of NIH-funded funded research available. Responsible data management and sharing has many benefits, including accelerating the pace of biomedical research, enabling validation of research results, and providing accessibility to high-value datasets.
A complete list of NIH grant program activity codes can be found here.
This information includes the expectations of NIH, and the required information.
This information includes allowable & unallowable costs, request & justify data management and sharing costs, and an assessment of the budget.
Data management requirements and plans specific to the Directorate, Office, Division, Program, or other NSF unit, relevant to a proposal are available at: http://www.nsf.gov/bfa/dias/policy/dmp.jsp.
Plans for data management and sharing of the products of research. Proposals must include a document of no more than two pages uploaded under “Data Management Plan” in the supplementary documentation section of FastLane or Research.gov. This supplementary document should describe how the proposal will conform to NSF policy on the dissemination and sharing of research results (see Chapter XI.D.4), and may include:
NSF Specific Program Solicitations
Please note that if a specific program solicitation provides guidance on preparation of data management plans, such guidance must be followed.
As outlined in NIH’s Supplemental Policy Information: Selecting a Repository for Data Resulting from NIH-Supported Research, using a quality data repository generally improves the FAIRness (Findable, Accessible, Interoperable, and Re-usable) of the data. For that reason, NIH strongly encourages the use of established repositories to the extent possible for preserving and sharing scientific data.
Check out the list of NIH-supported scientific data repositories.
NIH supports a Generalist Repository Ecosystem Initiative (GREI) that includes seven established generalist repositories that collaborate to establish consistent metadata, develop use cases for data sharing, train and educate researchers on FAIR data, and the importance of data sharing. These recommended generalist repositories are a great tool for all types of data sets.
Check out the GREI Collaborative Webinar Series on data sharing.
If you feel like exploring more repositories, check out the Registry of Research Data Repositories.
Citing data is as important as citing any type of publication. Styles differ depending on the citation style but the following information is usually required:
Examples of cited data sets
APA 7th edition:
Lastname, F. M. or Name of Group (Year). Title of dataset (Version No.) [Data set]. Publisher.
DOI or URL
Use a citation manager to help manage, organize, and store all your citations.
***EndNote Premium, Papers, and Zotero displays article retraction alerts.***
Need additional help choosing a citation manager? Reach out to the UF librarians: LIBD-CitationManagers@uflib.ufl.edu
*Researcher checklist source citation: Ye, H., Exner, N., Muilenburg, J., Otsuji, R., Calkins, H., Sheridan, H., LaPreze, D., Sewell, K., Dolan, L., Hertz, M., Badger, K., Koshoffer, A.E., Grynoch, T., Renirie, R., Denton, A., Jones, L.C., Farrell, S., Contaxis, N., Nieman, C., Phegley, L., Smith, K., Orlowska, D., Bohman, L., 2022. Public Sharing [WWW Document]. doi:10.17605/OSF.IO/3P972