Code and Data Management

data directories

Well-organized data and code are key for keeping your computational workflows reproducible. These offerings cover how to plan for data management, apply version control best practices, and plan transparent research workflows.

Available resources

Since offerings are always evolving, this list may not be comprehensive. Still have questions?

TopicTitleSponsorCostCredit
Consultation ServicesResearch Security Video Series
SOMfreeno
Tutorials/User Support ServicesGitHub Enterprise Training and SupportUCSF ITfreeno
Code Management CourseUsing Git and GitHubGladstonefreeno
Code Management CourseVersion Control with GitLibraryfreeno
Data Management CourseData Cleaning with OpenRefineLibraryfreeno
Data Management CourseEPI 218: Data Collection and Management for Clinical ResearchEpi/Biostat$yes
Data Management CourseHow to Share De-Identified Research DataLibraryfreeno
Data Management CourseNIH Data Management PolicyLibraryfreeno
Data Management CourseWorking with Biomedical Graph DatabasesGladstonefreeno
Code and Data Management CourseIntroduction to Open ScienceLibraryfreeno
Tutorials/User Support ServicesREDCap Training and SupportUCSF ITfreeno
Data Management CourseEPI 232: Introduction to Clinical InformaticsEpi/Biostat$yes

See the full list of UCSF data science education and training sponsors and a key to the abbreviations.

Can’t find what you’re looking for?

If you are an educator or learner and can’t find a particular UCSF data science training opportunity on this portal, feel free to contact us
 
Note that there are additional data science training opportunities that UCSF employees may access for free or at discounted rates which are outside the scope of this portal. For example, you may want to explore offerings through LinkedIn Learning (all content free through UCSF MyAccess)