Skip to main content
Basic Technical IVT Commonly tested

Plagiarism Detection Protocol Implementation

noun phrase

Pronunciation: /pləˈdʒərɪzəm dɪˈtɛkʃən ˈproʊtəˌkɔl ɪmˌplɪmənˈteɪʃən/

The systematic establishment and operation of screening procedures using plagiarism detection software at manuscript submission, revision, and acceptance stages. This protocol defines thresholds, response procedures, and integration with the editorial workflow.

Plain English

Setting up and using software systems to catch copied or improperly attributed content in submitted articles.

Etymology & History

Origin languageLatin, Greek, French
Rootplagiarism (Latin 'plagiarius'), detection (Latin 'detegere'), protocol (Greek 'protokollon')
First recorded use2000s
Usage frequencyVery common

Usage

"Our plagiarism detection protocol implementation uses Turnitin at submission with a 15% similarity threshold."

Style guide notes: Maintain consistent capitalization when naming specific tools: 'Turnitin,' 'iThenticate,' 'Copyscape.'

Also known as

originality screening system duplicate content detection similarity checking procedure

Contrasted with

trust-based submission manual review only

Related Terms

Frequently Asked Questions

What similarity threshold indicates potential plagiarism?

Thresholds vary by journal, typically 15-25%, but require contextual evaluation by editors regardless of software scores.

When should plagiarism screening occur?

Best practice screens at submission, major revision, and pre-acceptance stages to catch various plagiarism types.

Why Test Candidates on This?

Vital for evaluating editorial staff competency in implementing integrity safeguards and managing detection tool workflows.

Required skill level: Mid

Editors from these organisations have used our services since 1998

Reuters BBC Oxford University Press Penguin Random House Springer Microsoft Suncor Energy United Nations Fisher Investments IBM The Home Depot KODAK CHEVRON