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.
Since offerings are always evolving, this list may not be comprehensive. Still have questions?
|Consultation Services||Data Security Training and Support||SOM||—||—|
|Tutorials/User Support Services||GitHub Enterprise Training and Support||UCSF IT||—||—|
|Code Management Course||Using Git and GitHub||Gladstone||—||—|
|Code Management Course||Version Control with Git||Library||—||—|
|Data Management Course||Data Cleaning with OpenRefine||Library||—||—|
|Data Management Course||EPI 218: Data Collection and Management for Clinical Research||Epi/Biostat||$||*|
|Data Management Course||How to Share De-Identified Research Data||Library||—||—|
|Data Management Course||NIH Data Management Policy||Library||—||—|
|Data Management Course||Working with Biomedical Graph Databases||Gladstone||—||—|
|Code and Data Management Course||Introduction to Open Science||Library||—||—|
|Tutorials/User Support Services||REDCap Training and Support||UCSF IT||—||—|
See the full list of UCSF data science education and training sponsors and a key to the abbreviations.