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Research Data Services @SDSU

Tools and services to help you manage your research data

What RDM at SDSU Library Can Do For You

  • Show you how to comply with public access funder mandates and journal data sharing requirements.
  • Help you write data management and sharing plans as required by many grants, or you can use our customized DMPTool.
  • Teach a workshop so your research team or students know how to organize and manage data and related research documents throughout their projects.
  • Help you explore the use of collaboration tools to work with research partners and manage research workflows, including the Open Science Framework.
  • Connect you with other SDSU groups that can help with the storage, security, and analysis of your data.
  • Assist you in identifying and using data repositories to preserve and share your data, or help you deposit your data for sharing and public access.
  • Help with metadata and documentation to make your data searchable and citable, to ensure your work can be found and credited.

Fall Workshops

SDSU Library will be holding workshops to give interested SDSU researchers information about the All of Us Researcher Workbench as well as more advanced workshops to get you started on analyzing the data you find.

"The All of Us Research Program is inviting one million people across the U.S. to help build one of the most diverse health databases in history. We welcome participants from all backgrounds. Researchers will use the data to learn how our biology, lifestyle, and environment affect health. This may one day help them find ways to treat and prevent disease."

This recording of the Introductory Workshop will introduce you to types of data available through the Workbench (survey, FitBIt, electronic health record, genetics, etc.), and how to set up an account and the tiers of data available.

Please set up an account and make sure you can get into the Workbench before attending the R in the Researcher Workbench workshops.

We will also be holding 2 workshops that focus on setting up a cohort and doing basic analysis with R in the Researcher Workbench. These workshops will be held in person in the Library and will not be recorded.

Wednesday, November 6 - 1-3 pm

Tuesday, November 19, 1-3 pm

Please use this link to sign up for these workshops. 

Our Services

The SDSU Library's RDM Team offers a variety of services to SDSU-affiliated researchers.

  • DMPTool - login with your SDSU gmail username and password to access online templates from major funding agencies
  • DMP Review - choose the option for "review" when finishing your DMP and the committee will be notified and will review your DMP and provide feedback
  • Data Management Education - The RDM Team will be offering workshops on topics surrounding best practices in data management through the library, the Center for Teaching and Learning and The Research Foundation Workshop Series. Keep an eye out for announcements!
  • All of Us Researcher Workbench support. Get access to longitudinal cohort study aimed at advancing precision medicine and improving human health through partnering with one million or more diverse participants across the United States.
  • General Queries - the Team's email library.data@sdsu.eduis happy to take general questions, and if you call the library, someone will gladly refer you to one of the team members.

Taking Care of Your Data

If you start planning early, you can save time later when your data is easy to find, use, analyze, and share with your collaborators.

  • Proper storage and backups help prevent data loss.
  • Some funders require a data management plan. The DMPTool will make sure you include everything required.
  • Some journals now require data to be deposited and made available in a repository.
  • Storing your data with proper documentation will make sure that others can discover and build on your research and that you get credit when others use your data.

This article will give you a good overview of data management for your research: Briney KA, Coates H, Goben A (2020) Foundational Practices of Research Data Management. Research Ideas and Outcomes 6: e56508. https://doi.org/10.3897/rio.6.e56508