Textbooks

Writing

• Communicating with Data: The Art of Writing for Data Science
  Deborah Nolan and Sara Stoudt - ISBN: 9780192607508
  (Full text available via the UNC-Chapel Hill Libraries, I have discount code if you want physical copy)
• The Elements of Technical Writing
  Gary Black and Robert Bly

Causal inference and societal impact of data analysis

• Causal Inference: What If
  Miguel Hernán and James Robins
• Thicker than Blood: How Racial Statistics Lie
  Tukufu Zuberi
• Invisible Women
  Caroline Criado Perez
• Data Feminism
  Catherine D’Ignazio and Lauren F. Klein

Visualization and modeling

• The Visual Display of Quantitative Information
  Edward Tufte
• Fundamentals of Data Visualization (online)
  Claus Wilke
• Data Analysis Using Regression and Multilevel/Hierarchical Models
  Andrew Gelman and Jennifer Hill

Articles

Listening

• Defensive Communication
  Jack Gibb
• How to Become a Better Listener
  Robin Abrahams and Boris Groysberg
• What Great Listeners Actually Do
  How to Become a Better Listener

Reading as a writer

• Ten simple rules for structuring papers
  Brett Mensh and Konrad Kording

Data and project organization

• Data Organization in Spreadsheets
  Karl Broman and Kara Woo
• A Quick Guide to Organizing Computational Biology Projects
  William Stafford Noble
• Commit-to-change Resources
  Commit to Change: How to Increase Accessibility in Your Favorite Open Source Projects
  Given at Posit::conf(2023) on 20 September 2023

Reproducibility

• The five pillars of computational reproducibility: Bioinformatics and beyond
  Mark Ziemann, Pierre Poulain, Anusuiya Bora
• Over-optimism in bioinformatics: an illustration
  Monika Jelizarow et al.
• Essential guidelines for computational method benchmarking
  Lukas Weber et al.

Design of data analysis

• Design Principles for Data Analysis
  Lucy D’Agostino McGowan, Roger Peng, and Stephanie Hicks
• Target Trial Emulation: A Framework for Causal Inference From Observational Data
  Miguel Hernán, Wei Wang, and David Leaf
• Story Telling in Data Analysis
  Roger Peng

Concise science writing

• Simple rules for concise scientific writing
  Scott Hotaling
• The Science of Scientific Writing
  George Gopen and Judith Swan

Interdisciplinary collaboration

• Ten simple rules to cultivate transdisciplinary collaboration in data science
  Faryad Sahneh and Meghan Balk et al.
• How to share data for collaboration
  Shannon E. Ellis and Jeffrey T. Leek
• You Are Not Working for Me; I Am Working with You
  Florian Markowetz

Presentations

• Why Give Data Analytic Presentations
  Roger Peng

UNC resources and groups

• Science Writing and Communication Club (SWAC) at UNC
• The Pipette Pen, the blog of the SWAC
• Training Initiatives in Biomedical and Biological Sciences (TIBBS) programming
• The Writing Center tips and tools
• Carolina Scientific magazine
• NC DNA Day blog

Bioinformatics resources

• Bioinformatics Data Skills - Vince Buffalo