Module
Reproducible Research Support
Create search records, teaching artifacts, and accountable handoffs
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About This Module
Research support becomes defensible when another librarian can see what was supplied, what was searched, which decisions were made, what AI contributed, and what a human verified. This module turns the earlier exercises into a reusable workflow for consultations, evidence scans, and instruction.
What You'll Learn
- How to define an AI-assisted workflow with review and escalation points
- How to translate search logic without trusting untested database syntax
- How to teach patrons about source boundaries, citation checks, and malicious document instructions
- How to package methods, limitations, disclosure, and verification records
- How to clean up a chat or project according to retention and deletion policy
Practice Baseline
ACRL's 2025 competencies emphasize ethical consideration, technical understanding, critical evaluation, and responsible application without tying training to one product. ALA's June 2026 guidance adds data minimization, meaningful human review, clear disclosure, and a human or non-AI path. Those principles—not a model menu—define completion.