By Stacy Winchester
Creating a plan to manage your data is an essential component of the research process. Having a data management plan saves you time and resources. It also promotes increased data sharing, transparency, and reproducibility. Moreover, many major funding agencies, such as the NSF and NIH, require data management plans, or DMPs, as part of the grant application process. These documents are generally about two pages long and contain descriptions of some or all of the following:
- Roles and responsibilities of research project personnel
- Types of data to be collected
- Data formats and metadata to be used
- Access, sharing, and privacy concerns
- Policies and provisions for re-use and re-distribution
- Data storage and preservation plan
University Libraries at USC offers several resources to help you create a DMP that meets funder requirements.
Learn about the principles of data management, including data management planning, metadata, sharing data, regulations and security issues, and more!
View data management plans for funded projects written by USC researchers. Plans are available for NSF and NIH projects.
Learn about the data management planning process and get hands-on experience with DMPTool, an online wizard for creating DMPs that meet specific funder requirements.
Data Archiving Consultation
If you’re applying for funding from the NSF or a number of other agencies, you may be required to archive your data to make it available for re-use. Information about the data repository you select may be required for your DMP. Although USC doesn’t currently have a university-wide archive to permanently store datasets, many discipline-specific and general data repositories around the world accept research data.
Re3Data.org is a directory of data repositories across many disciplines worldwide.
ICPSR, the Inter-university Consortium for Political and Social Science Research, is the world’s biggest archive of digital social science data.
And, there are many non-discipline specific archives like these:
If you’d like help finding an open repository for your datasets to satisfy funder requirements and promote data sharing and re-use, contact me at email@example.com or 803-777-1968.