babichmorrowc/bristol-uganda-data-week

Training materials for the 2026 Bristol–Uganda Collaborative Training Visit on Health Data Science. # Bristol–Uganda Collaborative Training Visit on Health Data Science Training materials for the 2026 Bristol–Uganda Collaborative Training Visit on Health Data Science: ## Technical trainings ### Training #1: Introduction to Git and GitHub All materials for this training are available in the folder `intro-to-git-github`: + Slides presented, including links to external materials + 5 numbered files containing instructions to the different exercises + A folder called `branching-practice` where the files for the branching exercise live ### Training #2: Introduction to R All materials for this training are available in the folder `intro-to-r`: + `tutorials`: Folder containing the original tutorial files. Please do not edit these files! You can make copies of these files with your names in the file name to edit. + `tutorial_solutions`: Solutions to the exercises in the tutorials. Please do not edit these files! + `data`: Folder containing the data for the `tidyverse` tutorial ### Training #3: Introduction to probabilistic data linkage All materials for this training are available in the folder `intro-to-probabilistic-linkage`: + Slides presented + Linkage tutorial and solutions: Please do not edit these files! You can make a copy of the tutorial file with your name in the file name to edit. + `data`: Folder containing some practice data ## Other presentations All other training materials and presentations are in the `other-presentations` folder: + Writing your first grant application: Ettie Unwin's presentation about grant writing + Building research projects: Josiline Chumutai's presentation about creating a research project + Data quality assessment and working group: Josiline Chumutai's presentation about measuring data quality + Feasibility of linking maternal health data without unique identifiers in Uganda: Presentation delivered by Josiline Chemutai and contributed to by Cecina Babich Morrow about our probabilistic linkage results so far