Academy course
Research integrity & figure forensics
Authorship, plagiarism boundaries, statistical consistency, and detecting manipulated images.
Advanced · 3 weeksReviewers, supervisors, journal editors and integrity officers.Advanced · 3 weeksIncluded with your planSciExpert Academy faculty
What this is
Integrity as a skill set. You audit real published figures and statistics, learning what editors and integrity officers look for before an investigation starts.
What you will be able to do
- • Apply authorship and conflict-of-interest norms correctly
- • Recognise the paraphrase/plagiarism boundary in practice
- • Run statistical consistency checks on reported results
- • Detect duplicated panels, splices and implausible plots
Workspace services used
Every module is practised inside services you already have in your account.
Syllabus
Enroll to track progress1. Norms
ICMJE authorship, contributorship, COI, data availability.
2. Text integrity
Plagiarism, self-plagiarism, paper mills, AI-generated text signals.
3. Numbers & images
GRIM/statcheck-style consistency, error level analysis, copy-move detection.
Join the next intake
Cohorts open on a rolling basis and places are limited so feedback stays personal.
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