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OSF is a platform for researchers in all disciplines to store, manage, and share their research outputs, including research data. It is a part of the NIH's Generalist Repository Ecosystem Initiative, making it an ideal place to publicly share non-sensitive research data in compliance with the NIH's data management and sharing policy.
Researchers at the University of Maryland Baltimore use OSF for preregistering studies, privately make files available to collaborators and publicly share outputs. This guide provides information to help you get started using OSF. For questions not answered here, please email data@hshsl@umaryland.edu.
OSF has a number of features that can make it a useful part of your research process:
This guide lays out several different use cases of OSF, but you can find more trainings and information through events and webinars from the Center for Open Science.
If you have specific questions about using OSF for your research, contact UMB's Center for Data and Bioinformation Services.
This guide was originally created by Isaac Wink with guidance from Amy Yarnell and Irma Fraticelli-Rodriguez as part of the Data Services Continuing Professional Education program.