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 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.
Authors
- Carl Taswell (ORCID: https://orcid.org/0000-0002-9386-4574)
- Adam Craig (ORCID: https://orcid.org/0000-0002-7646-4384)
Institutions
- Hong Kong Baptist University (HK)
- University of California San Diego (US)
Publication Details
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1109/e-science62913.2024.10678726
- Citations
- 3
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 2.34