21  Resources

General-purpose resources have moved to the Morrison Lab’s sister sites:

• R, Git and GitHub, the command line, Python, Julia, and open science: the Resources page of Principles of Scientific Computing
• AI and coding agents: Working with AI
• Writing: Further reading in Principles of Scientific Writing
• Presentations, posters, and scientific figures: Slides, posters, and figures in Principles of Scientific Writing

21.1 Resources for R

• DataCamp - email Kristen for access

21.2 Professional advice

• Professional advice, especially for your first job
• Team Public Health Substack

21.3 Funding

• Building Your Funding Train
• NIH Grant Writing Resources

21.4 Ethics and global health research

• Global Code of Conduct For Research in Resource-Poor Settings
• Who is a global health expert? (Ojiako et al. 2023)
• Transforming Global Health Partnerships

21.5 Comparable Lab Manuals

Exploring lab manuals from peer research groups helps us identify best practices, adapt proven onboarding workflows, and align our open science standards with the broader computational biology and epidemiology communities:

• Benjamin-Chung Lab Manual (GitHub repository) — The computational epidemiology manual from which our manual originally adapted its structure, covering reproducible R workflows, collaborative development, and computational research practices.
• Fay Lab Manual (GitHub repository) — An Openscapes-origin Quarto manual for quantitative fisheries ecology (UMass Dartmouth), featuring detailed offboarding checklists, departure handoff protocols, and an open science communication philosophy.
• ContextLab Lab Manual (GitHub repository) — The Contextual Dynamics Lab manual at Dartmouth, notable for requiring incoming lab members to make an interactive pull request to learn contribution workflows hands-on.
• Proctor-UCSF DCC Handbook (GitHub repository) — A comprehensive handbook for the Data Coordinating Center at UCSF, focusing on clinical trial data management, REDCap workflows, quality assurance, and public data curation in global health settings.
• Quantitative Marine Ecology Lab Manual (GitHub repository) — A Quarto-based manual for Easton White’s research group at UNH, featuring role-specific administrative checklists and curated reading lists organized by career stage.

21.6 Reading and Watching List

• Good Luck, Have Fun, Don’t Die — A science fiction film directed by Gore Verbinski following a traveler from the future who recruits patrons at a Los Angeles diner to prevent a rogue artificial intelligence from destroying the world.

Ojiako, Chiamaka P., Lazenya Weekes-Richemond, Vuyiseka Dubula-Majola, and Marie-Claire Wangari. 2023. “Who Is a Global Health Expert?” PLOS Global Public Health 3 (8): e0002269. https://doi.org/10.1371/journal.pgph.0002269.