Academy course
Research integrity & figure forensics
Authorship, plagiarism boundaries, statistical consistency, and detecting manipulated images.
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.
Start in workspace — Figure IntegritySyllabus
1. 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. Create an account to reserve a place, or write to us with your topic and timeline.