Research That Holds Up: Up How to Design, Analyse, Write, Publish, and Defend Credible in the Age of AI

Research That Holds Up is a practical guide for researchers who want their work to survive serious scrutiny from the first question to publication, peer review, and intellectual property protection. Written for doctoral scholars, supervisors, and early career researchers in engineering, computing, and applied sciences, it explains how to design answerable studies, choose defensible methods, collect reliable data, analyse evidence responsibly, and write claims that match what the results truly support.The book covers research design, literature reviews, sampling, validity, statistics, reproducibility, scientific writing, journal selection, peer review, research integrity, responsible AI use, ethics, collaboration, and intellectual property. Realistic failure cases show how ordinary decisions can weaken otherwise strong research, while practical checklists, templates, exercises, and worked examples help readers prevent those problems early.Clear, international, and application-focused, this book helps researchers produce credible work that can be understood, defended, reproduced, published, and trusted across disciplines, institutions, jurisdictions, and rapidly changing technologies.