FAIR Metrics for Motivating Excellence in Peer Review

Past attempts to measure the quality of peer review have relied on either subjective ratings or tangentially related factors such as the sheer number or length of reviews. Previously, we introduced the Fair Attribution to Indexed Reports (FAIR) Metrics to quantify adherence to good citation practice...

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Bibliographic Details
Published in2024 IEEE 20th International Conference on e-Science (e-Science) pp. 1 - 2
Main Authors Craig, Adam, Taswell, Carl
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.09.2024
Subjects
Bibliometrics
ethics and integrity
Length measurement
Ontologies
peer review
Reviews
scholarly research
scientific publishing
semantic web
Semantics
Systematics
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Summary:Past attempts to measure the quality of peer review have relied on either subjective ratings or tangentially related factors such as the sheer number or length of reviews. Previously, we introduced the Fair Attribution to Indexed Reports (FAIR) Metrics to quantify adherence to good citation practices via systematic semantic comparison of statements in the target document to those found in cited and uncited prior reports. In the present work, we define new FAIR Metrics for assessing the quality of peer review, extend the FAIR Metrics module of the PDP-DREAM Ontology with additional classes and properties needed to record FAIR Metrics analysis of a peer review, and demonstrate use with a simple example.
ISSN:2325-3703
DOI:10.1109/e-Science62913.2024.10678726