| layout | page |
|---|---|
| title | Resources |
- 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 - Project design and evolution image from Yanai and Lercher
- 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
- 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
- Ten simple rules for structuring papers
Brett Mensh and Konrad Kording
- Data Organization in Spreadsheets
Karl Broman and Kara Woo - Planning and interpreting simulation studies with design and analysis of experiments
Hugh Chipman and Derek Bingham - A Quick Guide to Organizing Computational Biology Projects
William Stafford Noble - The FAIR Guiding Principles for scientific data management and stewardship
- Code Accessibility Resources
Commit to Change: How to Increase Accessibility in Your Favorite Open Source Projects - Ten Simple Rules for Making Biomedical Data Resources Accessible
Thomas C Smits, Lawrence Weru, Nils Gehlenborg, and Sehi L'Yi
- 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 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
- Simple rules for concise scientific writing
Scott Hotaling - The Science of Scientific Writing
George Gopen and Judith Swan
- Mike's notes on estimation (click download button)
- Causal Inference: What If
Miguel Hernán and James Robins
- 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
- Why Give Data Analytic Presentations
Roger Peng
- 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 Data Skills - Vince Buffalo