SLR FOUNDATIONS · PRE-HANDS-ON LEARNING

Quality, Publication & Responsible AI

Build a defensible review and use AI appropriately

Quality and Responsible AI in SLR: Researcher accountability remains essential — Researcher accountability remains essential · Click to enlarge

What makes a high-quality SLR?

A justified, focused review question and clear scope
Documented, appropriate and sufficiently comprehensive search
Transparent eligibility, selection and appraisal decisions
Evidence extraction and synthesis aligned to RQs
Clear limitations, reproducible reporting and meaningful contribution

More retrieved articles do not automatically mean a better review.

Publication readiness

Check journal scope, article type, author instructions, reporting requirements and contribution. Q1/Q2 status does not guarantee suitability or acceptance.

Responsible AI use

AI can suggest terms, improve clarity and help organise drafts. Verify every citation, DOI, quotation, metadata item, extraction and screening decision against primary sources. Follow your institution's and journal's AI disclosure and confidentiality rules.

Suggested AI prompt: “Suggest synonyms for these three research concepts. Separate established terminology from speculative terms, and explain which terms require database verification.”