Ten Simple Rules – An Educational Series for Modern Computational Science

The Ten Simple Rules educational series is a curated program designed to support researchers, students, and educators in navigating the practical realities of modern computational and data-driven science.

Building on the well-known Ten Simple Rules articles published in PLOS, this series translates widely adopted best practices into concise, actionable guidance for everyday research, teaching, and collaboration. The focus is not only on what to do, but how to do it well—across the full research lifecycle.

The series covers key topics at the intersection of computational biology, statistics, data science, and open science, including:

• Reproducible and FAIR research workflows
  
• Effective use of public biological and clinical data
  
• Sound statistical practice and model evaluation
  
• Scientific visualization and graphical abstracts
  
• Posters, presentations, and scientific storytelling
  
• Software, code, and workflow sustainability
  
• Collaboration, mentoring, and community building

Each session distills complex experience into ten clear principles, illustrated with real examples, practical recommendations, and common pitfalls. The format is designed to be accessible, discussion-driven, and immediately useful—whether you are early in your career or an experienced researcher refining your practice.

By combining methodological rigor with openness, transparency, and clarity, the Ten Simple Rules educational series aims to empower the next generation of scientists to do better, more reproducible, and more impactful research—and to communicate it effectively.