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Common
Term Plain-language explanation
abbreviation
An internal record of a source, its identifier, its status, and its
Reference passport -
use.
Fabrication, falsification, or plagiarism in proposing,
Research misconduct -
performing, or reporting research.
Generated data used for testing or privacy, never presented
Synthetic data -
as collected data.
Intellectual contribution plus responsibility for the work; not
Authorship -
attributable to a tool.
Contributor
- A standard list of roles used to describe who did what.
taxonomy
Disclosure - A statement of the role AI played, proportionate to its effect.
Confidential expert appraisal of a manuscript before
Peer review -
publication.
The ability of others to obtain the result from the described
Reproducibility -
data and procedures.
Reporting guideline - A checklist of items a particular type of study should report.
Preferred Reporting Items for Systematic Reviews and Meta-
PRISMA PRISMA Analyses: a checklist and a flow diagram for reporting a review
transparently.
Data management A plan for collecting, storing, sharing, and retaining research
-
plan data.
A record of the tool, purpose, inputs, outputs, and human
AI usage log -
verification.
A record of what changed in the plan, why, when, and who
Decision log -
approved it.
Review Questions
1. What is the difference between an exploratory and an evidential use of AI?
2. How does a broad topic become a problem, a gap, a question, and an operational definition?
3. What is the difference among a descriptive, an associational, and a causal question?
4. How do question frameworks help without becoming rigid templates?
5. Which elements make a search strategy repeatable?
6. Why do we use more than one database, language, or route of discovery?
7. What is the difference among the relevance of a source, its quality, and its risk of bias?
8. What does a reporting flow diagram do, and what does it not guarantee?
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