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.

  1. 1. Norms

    ICMJE authorship, contributorship, COI, data availability.

  2. 2. Text integrity

    Plagiarism, self-plagiarism, paper mills, AI-generated text signals.

  3. 3. Numbers & images

    GRIM/statcheck-style consistency, error level analysis, copy-move detection.

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