A curated collection of campus computing and data learning resources
Discover learning assets and training resources for non-credit-bearing courses developed by UCSB campus units to support your research lifecycle journey and leverage your computing skills. These resources encompass workshops, templates, tutorials, and presentations, providing practical guidance and examples. If you’d like to feature a new learning resource, please contact us rds@library.ucsb.edu.
Container-Driven Reproducible Research Made Simple
This workshop will show a reproducible and user-friendly approach to creating research environments using development containers. You will learn to use Visual Studio Code to create containerized R and Python environments, customize them with extensions, Jupyterlab, and RStudio, and deploy them on NSF-supported cloud instances like Jetstream2.
Date: 2024
Dependency Management 101
Have you ever felt trapped in the maze of packages and library dependencies for your R or Python projects? Join us for a webinar to unravel the 'Dependency Hell' problem and provide practical strategies to tackle this issue while making your research more reproducible.
Date: 2024
Designing a Reproducible and Collaborative Research Lab (RCL)
Workshop Series and Coaching Sessions for Faculty and their Teams to help Research Labs set up infrastructures and practices to make their research more reproducible, enable reuse of their own work, and collaborate more effectively.
Date: 2024
Managing Dependencies in R projects
Lesson originally taught at NCEAS' UCSB Faculty Seminar Series: Grow Your Data & Team Science Skills training. (Jan. 2024).
Date: 2024
Responsible Data Management and Ethical Sharing in Context
Presentation for faculty and graduate students from the Anthropology Department at UCSB as part of the Data Ethics Seminar (Feb. 2024).
Date: 2024
Data De-identification in Practice
This workshop covered key definitions, recommendations, and techniques to implement data de-identification/anonymization.
Date: 2023
Data De-identification with the sdcMicro R Package
Data de-identification/anonymization exercise with a toy dataset using the sdcMicro Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation) R Package.
Date: 2023
Data Management Planning
Lesson on Data Management Plan Writing and the DPMTool originally taught at the NCEAS UCSB Faculty Seminar Series: Grow Your Data & Team Science Skills (Sept. 2023).
Date: 2023
DMP Recommendations (DCC Template)
A guide with supporting resources for researchers to complete a data management plan using the generic template from the Data Curation Centre (DCC).
Date: 2023
Handling Sensitive Data in a Sensible Way
A presentation with interactive activities to explore data sensitivity and the spectrum of human subjects' privacy in the Social Sciences. Scenarios and approaches to secure subjects' rights to anonymization and protection while keeping research data ethics, shareability, and reusability principles in mind.